model-metadata/custom_code_execution_files

text stringlengths 0 3.84k
~~~~~~~~~~~~~~~~~~~~~~~~~~^
adapter_path if adapter_path is not None else model,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
...<5 lines>...
**model_kwargs,
^^^^^^^^^^^^^^^
)
^
File "/tmp/.cache/uv/environments-v2/e8b6185b99c36290/lib/python3.13/site-packages/transformers/pipelines/base.py", line 333, in infer_framework_load_model
raise ValueError(
f"Could not load model {model} with any of the following classes: {class_tuple}. See the original errors:\n\n{error}\n"
)
ValueError: Could not load model Salesforce/CoDA-v0-Instruct with any of the following classes: (<class 'transformers.models.auto.modeling_auto.AutoModelForCausalLM'>,). See the original errors:

while loading with AutoModelForCausalLM, an error is thrown:
Traceback (most recent call last):
File "/tmp/.cache/uv/environments-v2/e8b6185b99c36290/lib/python3.13/site-packages/transformers/pipelines/base.py", line 293, in infer_framework_load_model
model = model_class.from_pretrained(model, **kwargs)
File "/tmp/.cache/uv/environments-v2/e8b6185b99c36290/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained
raise ValueError(
...<2 lines>...
)
ValueError: Unrecognized configuration class <class 'transformers_modules.Salesforce.CoDA_hyphen_v0_hyphen_Instruct.f2d40ce1282766e2c9fbf5ca62c611817164a246.model_config.CoDAConfig'> for this kind of AutoModel: AutoModelForCausalLM.
Model type should be one of ApertusConfig, ArceeConfig, AriaTextConfig, BambaConfig, BartConfig, BertConfig, BertGenerationConfig, BigBirdConfig, BigBirdPegasusConfig, BioGptConfig, BitNetConfig, BlenderbotConfig, BlenderbotSmallConfig, BloomConfig, BltConfig, CamembertConfig, LlamaConfig, CodeGenConfig, CohereConfig, Cohere2Config, CpmAntConfig, CTRLConfig, Data2VecTextConfig, DbrxConfig, DeepseekV2Config, DeepseekV3Config, DiffLlamaConfig, DogeConfig, Dots1Config, ElectraConfig, Emu3Config, ErnieConfig, Ernie4_5Config, Ernie4_5_MoeConfig, Exaone4Config, FalconConfig, FalconH1Config, FalconMambaConfig, FlexOlmoConfig, FuyuConfig, GemmaConfig, Gemma2Config, Gemma3Config, Gemma3TextConfig, Gemma3nConfig, Gemma3nTextConfig, GitConfig, GlmConfig, Glm4Config, Glm4MoeConfig, GotOcr2Config, GPT2Config, GPT2Config, GPTBigCodeConfig, GPTNeoConfig, GPTNeoXConfig, GPTNeoXJapaneseConfig, GptOssConfig, GPTJConfig, GraniteConfig, GraniteMoeConfig, GraniteMoeHybridConfig, GraniteMoeSharedConfig, HeliumConfig, HunYuanDenseV1Config, HunYuanMoEV1Config, JambaConfig, JetMoeConfig, Lfm2Config, LlamaConfig, Llama4Config, Llama4TextConfig, LongcatFlashConfig, MambaConfig, Mamba2Config, MarianConfig, MBartConfig, MegaConfig, MegatronBertConfig, MiniMaxConfig, MinistralConfig, MistralConfig, MixtralConfig, MllamaConfig, ModernBertDecoderConfig, MoshiConfig, MptConfig, MusicgenConfig, MusicgenMelodyConfig, MvpConfig, NemotronConfig, OlmoConfig, Olmo2Config, Olmo3Config, OlmoeConfig, OpenLlamaConfig, OpenAIGPTConfig, OPTConfig, PegasusConfig, PersimmonConfig, PhiConfig, Phi3Config, Phi4MultimodalConfig, PhimoeConfig, PLBartConfig, ProphetNetConfig, QDQBertConfig, Qwen2Config, Qwen2MoeConfig, Qwen3Config, Qwen3MoeConfig, Qwen3NextConfig, RecurrentGemmaConfig, ReformerConfig, RemBertConfig, RobertaConfig, RobertaPreLayerNormConfig, RoCBertConfig, RoFormerConfig, RwkvConfig, SeedOssConfig, SmolLM3Config, Speech2Text2Config, StableLmConfig, Starcoder2Config, TransfoXLConfig, TrOCRConfig, VaultGemmaConfig, WhisperConfig, XGLMConfig, XLMConfig, XLMProphetNetConfig, XLMRobertaConfig, XLMRobertaXLConfig, XLNetConfig, xLSTMConfig, XmodConfig, ZambaConfig, Zamba2Config.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/tmp/.cache/uv/environments-v2/e8b6185b99c36290/lib/python3.13/site-packages/transformers/pipelines/base.py", line 311, in infer_framework_load_model
model = model_class.from_pretrained(model, **fp32_kwargs)
File "/tmp/.cache/uv/environments-v2/e8b6185b99c36290/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained
raise ValueError(
...<2 lines>...
)
ValueError: Unrecognized configuration class <class 'transformers_modules.Salesforce.CoDA_hyphen_v0_hyphen_Instruct.f2d40ce1282766e2c9fbf5ca62c611817164a246.model_config.CoDAConfig'> for this kind of AutoModel: AutoModelForCausalLM.
Model type should be one of ApertusConfig, ArceeConfig, AriaTextConfig, BambaConfig, BartConfig, BertConfig, BertGenerationConfig, BigBirdConfig, BigBirdPegasusConfig, BioGptConfig, BitNetConfig, BlenderbotConfig, BlenderbotSmallConfig, BloomConfig, BltConfig, CamembertConfig, LlamaConfig, CodeGenConfig, CohereConfig, Cohere2Config, CpmAntConfig, CTRLConfig, Data2VecTextConfig, DbrxConfig, DeepseekV2Config, DeepseekV3Config, DiffLlamaConfig, DogeConfig, Dots1Config, ElectraConfig, Emu3Config, ErnieConfig, Ernie4_5Config, Ernie4_5_MoeConfig, Exaone4Config, FalconConfig, FalconH1Config, FalconMambaConfig, FlexOlmoConfig, FuyuConfig, GemmaConfig, Gemma2Config, Gemma3Config, Gemma3TextConfig, Gemma3nConfig, Gemma3nTextConfig, GitConfig, GlmConfig, Glm4Config, Glm4MoeConfig, GotOcr2Config, GPT2Config, GPT2Config, GPTBigCodeConfig, GPTNeoConfig, GPTNeoXConfig, GPTNeoXJapaneseConfig, GptOssConfig, GPTJConfig, GraniteConfig, GraniteMoeConfig, GraniteMoeHybridConfig, GraniteMoeSharedConfig, HeliumConfig, HunYuanDenseV1Config, HunYuanMoEV1Config, JambaConfig, JetMoeConfig, Lfm2Config, LlamaConfig, Llama4Config, Llama4TextConfig, LongcatFlashConfig, MambaConfig, Mamba2Config, MarianConfig, MBartConfig, MegaConfig, MegatronBertConfig, MiniMaxConfig, MinistralConfig, MistralConfig, MixtralConfig, MllamaConfig, ModernBertDecoderConfig, MoshiConfig, MptConfig, MusicgenConfig, MusicgenMelodyConfig, MvpConfig, NemotronConfig, OlmoConfig, Olmo2Config, Olmo3Config, OlmoeConfig, OpenLlamaConfig, OpenAIGPTConfig, OPTConfig, PegasusConfig, PersimmonConfig, PhiConfig, Phi3Config, Phi4MultimodalConfig, PhimoeConfig, PLBartConfig, ProphetNetConfig, QDQBertConfig, Qwen2Config, Qwen2MoeConfig, Qwen3Config, Qwen3MoeConfig, Qwen3NextConfig, RecurrentGemmaConfig, ReformerConfig, RemBertConfig, RobertaConfig, RobertaPreLayerNormConfig, RoCBertConfig, RoFormerConfig, RwkvConfig, SeedOssConfig, SmolLM3Config, Speech2Text2Config, StableLmConfig, Starcoder2Config, TransfoXLConfig, TrOCRConfig, VaultGemmaConfig, WhisperConfig, XGLMConfig, XLMConfig, XLMProphetNetConfig, XLMRobertaConfig, XLMRobertaXLConfig, XLNetConfig, xLSTMConfig, XmodConfig, ZambaConfig, Zamba2Config.



Traceback (most recent call last):
File "/tmp/Salesforce_CoDA-v0-Instruct_1xKCm9o.py", line 15, in <module>
model = AutoModel.from_pretrained("Salesforce/CoDA-v0-Instruct", trust_remote_code=True, torch_dtype="auto")
File "/tmp/.cache/uv/environments-v2/f5cacc24669b9318/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 597, in from_pretrained
return model_class.from_pretrained(
~~~~~~~~~~~~~~~~~~~~~~~~~~~^
pretrained_model_name_or_path, model_args, config=config, hub_kwargs, *kwargs
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/tmp/.cache/uv/environments-v2/f5cacc24669b9318/lib/python3.13/site-packages/transformers/modeling_utils.py", line 277, in _wrapper
return func(args, *kwargs)
File "/tmp/.cache/uv/environments-v2/f5cacc24669b9318/lib/python3.13/site-packages/transformers/modeling_utils.py", line 4971, in from_pretrained
model = cls(config, model_args, *model_kwargs)
File "/tmp/.cache/huggingface/modules/transformers_modules/Salesforce/CoDA_hyphen_v0_hyphen_Instruct/f2d40ce1282766e2c9fbf5ca62c611817164a246/modeling_coda.py", line 372, in __init__
self.model = CoDAModel(config)
~~~~~~~~~^^^^^^^^
File "/tmp/.cache/huggingface/modules/transformers_modules/Salesforce/CoDA_hyphen_v0_hyphen_Instruct/f2d40ce1282766e2c9fbf5ca62c611817164a246/modeling_coda.py", line 268, in __init__
super().__init__(config=config)
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
File "/tmp/.cache/uv/environments-v2/f5cacc24669b9318/lib/python3.13/site-packages/transformers/modeling_utils.py", line 2076, in __init__
self.config._attn_implementation_internal = self._check_and_adjust_attn_implementation(
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
self.config._attn_implementation, is_init_check=True
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/tmp/.cache/uv/environments-v2/f5cacc24669b9318/lib/python3.13/site-packages/transformers/modeling_utils.py", line 2686, in _check_and_adjust_attn_implementation
applicable_attn_implementation = self.get_correct_attn_implementation(
applicable_attn_implementation, is_init_check
)
File "/tmp/.cache/uv/environments-v2/f5cacc24669b9318/lib/python3.13/site-packages/transformers/modeling_utils.py", line 2725, in get_correct_attn_implementation
raise e
File "/tmp/.cache/uv/environments-v2/f5cacc24669b9318/lib/python3.13/site-packages/transformers/modeling_utils.py", line 2722, in get_correct_attn_implementation
self._sdpa_can_dispatch(is_init_check)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
File "/tmp/.cache/uv/environments-v2/f5cacc24669b9318/lib/python3.13/site-packages/transformers/modeling_utils.py", line 2574, in _sdpa_can_dispatch
raise ValueError(
...<3 lines>...
)
ValueError: CoDAModel does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation="eager"` meanwhile. Example: `model = AutoModel.from_pretrained("openai/whisper-tiny", attn_implementation="eager")`
No suitable GPU found for Skywork/Skywork-R1V3-38B \| 92.95 GB VRAM requirement
No suitable GPU found for Skywork/Skywork-R1V3-38B \| 92.95 GB VRAM requirement
No suitable GPU found for Skywork/Skywork-R1V3-38B \| 92.95 GB VRAM requirement
No suitable GPU found for Skywork/Skywork-R1V3-38B \| 92.95 GB VRAM requirement
Traceback (most recent call last):
File "/tmp/.cache/uv/environments-v2/750b6ec382b5be28/lib/python3.13/site-packages/huggingface_hub/utils/_http.py", line 409, in hf_raise_for_status
response.raise_for_status()
~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/tmp/.cache/uv/environments-v2/750b6ec382b5be28/lib/python3.13/site-packages/requests/models.py", line 1026, in raise_for_status
raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/X-Omni/X-Omni-En/resolve/main/model_index.json

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/tmp/X-Omni_X-Omni-En_03hp8xD.py", line 18, in <module>
pipe = DiffusionPipeline.from_pretrained("X-Omni/X-Omni-En")
File "/tmp/.cache/uv/environments-v2/750b6ec382b5be28/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(args, *kwargs)
File "/tmp/.cache/uv/environments-v2/750b6ec382b5be28/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 833, in from_pretrained

~~~~~~~~~~~~~~~~~~~~~~~~~~^

adapter_path if adapter_path is not None else model,

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

...<5 lines>...

**model_kwargs,

^^^^^^^^^^^^^^^

)

^

File "/tmp/.cache/uv/environments-v2/e8b6185b99c36290/lib/python3.13/site-packages/transformers/pipelines/base.py", line 333, in infer_framework_load_model

raise ValueError(

f"Could not load model {model} with any of the following classes: {class_tuple}. See the original errors:\n\n{error}\n"

)

ValueError: Could not load model Salesforce/CoDA-v0-Instruct with any of the following classes: (<class 'transformers.models.auto.modeling_auto.AutoModelForCausalLM'>,). See the original errors:

while loading with AutoModelForCausalLM, an error is thrown:

Traceback (most recent call last):

File "/tmp/.cache/uv/environments-v2/e8b6185b99c36290/lib/python3.13/site-packages/transformers/pipelines/base.py", line 293, in infer_framework_load_model

model = model_class.from_pretrained(model, **kwargs)

File "/tmp/.cache/uv/environments-v2/e8b6185b99c36290/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained

raise ValueError(

...<2 lines>...

)

ValueError: Unrecognized configuration class <class 'transformers_modules.Salesforce.CoDA_hyphen_v0_hyphen_Instruct.f2d40ce1282766e2c9fbf5ca62c611817164a246.model_config.CoDAConfig'> for this kind of AutoModel: AutoModelForCausalLM.

Model type should be one of ApertusConfig, ArceeConfig, AriaTextConfig, BambaConfig, BartConfig, BertConfig, BertGenerationConfig, BigBirdConfig, BigBirdPegasusConfig, BioGptConfig, BitNetConfig, BlenderbotConfig, BlenderbotSmallConfig, BloomConfig, BltConfig, CamembertConfig, LlamaConfig, CodeGenConfig, CohereConfig, Cohere2Config, CpmAntConfig, CTRLConfig, Data2VecTextConfig, DbrxConfig, DeepseekV2Config, DeepseekV3Config, DiffLlamaConfig, DogeConfig, Dots1Config, ElectraConfig, Emu3Config, ErnieConfig, Ernie4_5Config, Ernie4_5_MoeConfig, Exaone4Config, FalconConfig, FalconH1Config, FalconMambaConfig, FlexOlmoConfig, FuyuConfig, GemmaConfig, Gemma2Config, Gemma3Config, Gemma3TextConfig, Gemma3nConfig, Gemma3nTextConfig, GitConfig, GlmConfig, Glm4Config, Glm4MoeConfig, GotOcr2Config, GPT2Config, GPT2Config, GPTBigCodeConfig, GPTNeoConfig, GPTNeoXConfig, GPTNeoXJapaneseConfig, GptOssConfig, GPTJConfig, GraniteConfig, GraniteMoeConfig, GraniteMoeHybridConfig, GraniteMoeSharedConfig, HeliumConfig, HunYuanDenseV1Config, HunYuanMoEV1Config, JambaConfig, JetMoeConfig, Lfm2Config, LlamaConfig, Llama4Config, Llama4TextConfig, LongcatFlashConfig, MambaConfig, Mamba2Config, MarianConfig, MBartConfig, MegaConfig, MegatronBertConfig, MiniMaxConfig, MinistralConfig, MistralConfig, MixtralConfig, MllamaConfig, ModernBertDecoderConfig, MoshiConfig, MptConfig, MusicgenConfig, MusicgenMelodyConfig, MvpConfig, NemotronConfig, OlmoConfig, Olmo2Config, Olmo3Config, OlmoeConfig, OpenLlamaConfig, OpenAIGPTConfig, OPTConfig, PegasusConfig, PersimmonConfig, PhiConfig, Phi3Config, Phi4MultimodalConfig, PhimoeConfig, PLBartConfig, ProphetNetConfig, QDQBertConfig, Qwen2Config, Qwen2MoeConfig, Qwen3Config, Qwen3MoeConfig, Qwen3NextConfig, RecurrentGemmaConfig, ReformerConfig, RemBertConfig, RobertaConfig, RobertaPreLayerNormConfig, RoCBertConfig, RoFormerConfig, RwkvConfig, SeedOssConfig, SmolLM3Config, Speech2Text2Config, StableLmConfig, Starcoder2Config, TransfoXLConfig, TrOCRConfig, VaultGemmaConfig, WhisperConfig, XGLMConfig, XLMConfig, XLMProphetNetConfig, XLMRobertaConfig, XLMRobertaXLConfig, XLNetConfig, xLSTMConfig, XmodConfig, ZambaConfig, Zamba2Config.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "/tmp/.cache/uv/environments-v2/e8b6185b99c36290/lib/python3.13/site-packages/transformers/pipelines/base.py", line 311, in infer_framework_load_model

model = model_class.from_pretrained(model, **fp32_kwargs)

File "/tmp/.cache/uv/environments-v2/e8b6185b99c36290/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained

raise ValueError(

...<2 lines>...

)

ValueError: Unrecognized configuration class <class 'transformers_modules.Salesforce.CoDA_hyphen_v0_hyphen_Instruct.f2d40ce1282766e2c9fbf5ca62c611817164a246.model_config.CoDAConfig'> for this kind of AutoModel: AutoModelForCausalLM.

Model type should be one of ApertusConfig, ArceeConfig, AriaTextConfig, BambaConfig, BartConfig, BertConfig, BertGenerationConfig, BigBirdConfig, BigBirdPegasusConfig, BioGptConfig, BitNetConfig, BlenderbotConfig, BlenderbotSmallConfig, BloomConfig, BltConfig, CamembertConfig, LlamaConfig, CodeGenConfig, CohereConfig, Cohere2Config, CpmAntConfig, CTRLConfig, Data2VecTextConfig, DbrxConfig, DeepseekV2Config, DeepseekV3Config, DiffLlamaConfig, DogeConfig, Dots1Config, ElectraConfig, Emu3Config, ErnieConfig, Ernie4_5Config, Ernie4_5_MoeConfig, Exaone4Config, FalconConfig, FalconH1Config, FalconMambaConfig, FlexOlmoConfig, FuyuConfig, GemmaConfig, Gemma2Config, Gemma3Config, Gemma3TextConfig, Gemma3nConfig, Gemma3nTextConfig, GitConfig, GlmConfig, Glm4Config, Glm4MoeConfig, GotOcr2Config, GPT2Config, GPT2Config, GPTBigCodeConfig, GPTNeoConfig, GPTNeoXConfig, GPTNeoXJapaneseConfig, GptOssConfig, GPTJConfig, GraniteConfig, GraniteMoeConfig, GraniteMoeHybridConfig, GraniteMoeSharedConfig, HeliumConfig, HunYuanDenseV1Config, HunYuanMoEV1Config, JambaConfig, JetMoeConfig, Lfm2Config, LlamaConfig, Llama4Config, Llama4TextConfig, LongcatFlashConfig, MambaConfig, Mamba2Config, MarianConfig, MBartConfig, MegaConfig, MegatronBertConfig, MiniMaxConfig, MinistralConfig, MistralConfig, MixtralConfig, MllamaConfig, ModernBertDecoderConfig, MoshiConfig, MptConfig, MusicgenConfig, MusicgenMelodyConfig, MvpConfig, NemotronConfig, OlmoConfig, Olmo2Config, Olmo3Config, OlmoeConfig, OpenLlamaConfig, OpenAIGPTConfig, OPTConfig, PegasusConfig, PersimmonConfig, PhiConfig, Phi3Config, Phi4MultimodalConfig, PhimoeConfig, PLBartConfig, ProphetNetConfig, QDQBertConfig, Qwen2Config, Qwen2MoeConfig, Qwen3Config, Qwen3MoeConfig, Qwen3NextConfig, RecurrentGemmaConfig, ReformerConfig, RemBertConfig, RobertaConfig, RobertaPreLayerNormConfig, RoCBertConfig, RoFormerConfig, RwkvConfig, SeedOssConfig, SmolLM3Config, Speech2Text2Config, StableLmConfig, Starcoder2Config, TransfoXLConfig, TrOCRConfig, VaultGemmaConfig, WhisperConfig, XGLMConfig, XLMConfig, XLMProphetNetConfig, XLMRobertaConfig, XLMRobertaXLConfig, XLNetConfig, xLSTMConfig, XmodConfig, ZambaConfig, Zamba2Config.

Traceback (most recent call last):

File "/tmp/Salesforce_CoDA-v0-Instruct_1xKCm9o.py", line 15, in <module>

model = AutoModel.from_pretrained("Salesforce/CoDA-v0-Instruct", trust_remote_code=True, torch_dtype="auto")

File "/tmp/.cache/uv/environments-v2/f5cacc24669b9318/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 597, in from_pretrained

return model_class.from_pretrained(

~~~~~~~~~~~~~~~~~~~~~~~~~~~^

pretrained_model_name_or_path, *model_args, config=config, **hub_kwargs, **kwargs

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

)

^

File "/tmp/.cache/uv/environments-v2/f5cacc24669b9318/lib/python3.13/site-packages/transformers/modeling_utils.py", line 277, in _wrapper

return func(*args, **kwargs)

File "/tmp/.cache/uv/environments-v2/f5cacc24669b9318/lib/python3.13/site-packages/transformers/modeling_utils.py", line 4971, in from_pretrained

model = cls(config, *model_args, **model_kwargs)

File "/tmp/.cache/huggingface/modules/transformers_modules/Salesforce/CoDA_hyphen_v0_hyphen_Instruct/f2d40ce1282766e2c9fbf5ca62c611817164a246/modeling_coda.py", line 372, in __init__

self.model = CoDAModel(config)

~~~~~~~~~^^^^^^^^

File "/tmp/.cache/huggingface/modules/transformers_modules/Salesforce/CoDA_hyphen_v0_hyphen_Instruct/f2d40ce1282766e2c9fbf5ca62c611817164a246/modeling_coda.py", line 268, in __init__

super().__init__(config=config)

~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^

File "/tmp/.cache/uv/environments-v2/f5cacc24669b9318/lib/python3.13/site-packages/transformers/modeling_utils.py", line 2076, in __init__

self.config._attn_implementation_internal = self._check_and_adjust_attn_implementation(

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^

self.config._attn_implementation, is_init_check=True

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

)

^

File "/tmp/.cache/uv/environments-v2/f5cacc24669b9318/lib/python3.13/site-packages/transformers/modeling_utils.py", line 2686, in _check_and_adjust_attn_implementation

applicable_attn_implementation = self.get_correct_attn_implementation(

applicable_attn_implementation, is_init_check

)

File "/tmp/.cache/uv/environments-v2/f5cacc24669b9318/lib/python3.13/site-packages/transformers/modeling_utils.py", line 2725, in get_correct_attn_implementation

raise e

File "/tmp/.cache/uv/environments-v2/f5cacc24669b9318/lib/python3.13/site-packages/transformers/modeling_utils.py", line 2722, in get_correct_attn_implementation

self._sdpa_can_dispatch(is_init_check)

~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^

File "/tmp/.cache/uv/environments-v2/f5cacc24669b9318/lib/python3.13/site-packages/transformers/modeling_utils.py", line 2574, in _sdpa_can_dispatch

raise ValueError(

...<3 lines>...

)

ValueError: CoDAModel does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation="eager"` meanwhile. Example: `model = AutoModel.from_pretrained("openai/whisper-tiny", attn_implementation="eager")`

No suitable GPU found for Skywork/Skywork-R1V3-38B | 92.95 GB VRAM requirement

Traceback (most recent call last):

File "/tmp/.cache/uv/environments-v2/750b6ec382b5be28/lib/python3.13/site-packages/huggingface_hub/utils/_http.py", line 409, in hf_raise_for_status

response.raise_for_status()

~~~~~~~~~~~~~~~~~~~~~~~~~^^

File "/tmp/.cache/uv/environments-v2/750b6ec382b5be28/lib/python3.13/site-packages/requests/models.py", line 1026, in raise_for_status

raise HTTPError(http_error_msg, response=self)

requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/X-Omni/X-Omni-En/resolve/main/model_index.json

The above exception was the direct cause of the following exception:

Traceback (most recent call last):

File "/tmp/X-Omni_X-Omni-En_03hp8xD.py", line 18, in <module>

pipe = DiffusionPipeline.from_pretrained("X-Omni/X-Omni-En")

File "/tmp/.cache/uv/environments-v2/750b6ec382b5be28/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn

return fn(*args, **kwargs)

File "/tmp/.cache/uv/environments-v2/750b6ec382b5be28/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 833, in from_pretrained