Upload zai-org_GLM-ASR-Nano-2512_0.txt with huggingface_hub

zai-org_GLM-ASR-Nano-2512_0.txt

@@ -2,74 +2,31 @@
 # Use a pipeline as a high-level helper
 from transformers import pipeline
 
-pipe = pipeline("automatic-speech-recognition", model="zai-org/GLM-ASR-Nano-2512", trust_remote_code=True)
+pipe = pipeline("automatic-speech-recognition", model="zai-org/GLM-ASR-Nano-2512")
 ```
 
 ERROR: 
 Traceback (most recent call last):
-  File "/tmp/zai-org_GLM-ASR-Nano-2512_0HT3lEa.py", line 26, in <module>
-    pipe = pipeline("automatic-speech-recognition", model="zai-org/GLM-ASR-Nano-2512", trust_remote_code=True)
-  File "/tmp/.cache/uv/environments-v2/e265c82f8ee277ed/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1027, in pipeline
-    framework, model = infer_framework_load_model(
-                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^
-        adapter_path if adapter_path is not None else model,
-        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-    ...<5 lines>...
-        **model_kwargs,
-        ^^^^^^^^^^^^^^^
-    )
-    ^
-  File "/tmp/.cache/uv/environments-v2/e265c82f8ee277ed/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 zai-org/GLM-ASR-Nano-2512 with any of the following classes: (<class 'transformers.models.auto.modeling_auto.AutoModelForCTC'>, <class 'transformers.models.auto.modeling_auto.AutoModelForSpeechSeq2Seq'>). See the original errors:
-
-while loading with AutoModelForCTC, an error is thrown:
-Traceback (most recent call last):
-  File "/tmp/.cache/uv/environments-v2/e265c82f8ee277ed/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/e265c82f8ee277ed/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.zai_hyphen_org.GLM_hyphen_ASR_hyphen_Nano_hyphen_2512.91967eab799804ab256a3819a085b92378906eb2.configuration_glmasr.GlmasrConfig'> for this kind of AutoModel: AutoModelForCTC.
-Model type should be one of Data2VecAudioConfig, HubertConfig, MCTCTConfig, ParakeetCTCConfig, SEWConfig, SEWDConfig, UniSpeechConfig, UniSpeechSatConfig, Wav2Vec2Config, Wav2Vec2BertConfig, Wav2Vec2ConformerConfig, WavLMConfig.
+  File "/tmp/.cache/uv/environments-v2/e265c82f8ee277ed/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1360, in from_pretrained
+    config_class = CONFIG_MAPPING[config_dict["model_type"]]
+                   ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/e265c82f8ee277ed/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1048, in __getitem__
+    raise KeyError(key)
+KeyError: 'glmasr'
 
 During handling of the above exception, another exception occurred:
 
 Traceback (most recent call last):
-  File "/tmp/.cache/uv/environments-v2/e265c82f8ee277ed/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/e265c82f8ee277ed/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.zai_hyphen_org.GLM_hyphen_ASR_hyphen_Nano_hyphen_2512.91967eab799804ab256a3819a085b92378906eb2.configuration_glmasr.GlmasrConfig'> for this kind of AutoModel: AutoModelForCTC.
-Model type should be one of Data2VecAudioConfig, HubertConfig, MCTCTConfig, ParakeetCTCConfig, SEWConfig, SEWDConfig, UniSpeechConfig, UniSpeechSatConfig, Wav2Vec2Config, Wav2Vec2BertConfig, Wav2Vec2ConformerConfig, WavLMConfig.
-
-while loading with AutoModelForSpeechSeq2Seq, an error is thrown:
-Traceback (most recent call last):
-  File "/tmp/.cache/uv/environments-v2/e265c82f8ee277ed/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/e265c82f8ee277ed/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained
-    raise ValueError(
-    ...<2 lines>...
+  File "/tmp/zai-org_GLM-ASR-Nano-2512_03Jrp1f.py", line 26, in <module>
+    pipe = pipeline("automatic-speech-recognition", model="zai-org/GLM-ASR-Nano-2512")
+  File "/tmp/.cache/uv/environments-v2/e265c82f8ee277ed/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 922, in pipeline
+    config = AutoConfig.from_pretrained(
+        model, _from_pipeline=task, code_revision=code_revision, **hub_kwargs, **model_kwargs
     )
-ValueError: Unrecognized configuration class <class 'transformers_modules.zai_hyphen_org.GLM_hyphen_ASR_hyphen_Nano_hyphen_2512.91967eab799804ab256a3819a085b92378906eb2.configuration_glmasr.GlmasrConfig'> for this kind of AutoModel: AutoModelForSpeechSeq2Seq.
-Model type should be one of DiaConfig, GraniteSpeechConfig, KyutaiSpeechToTextConfig, MoonshineConfig, Pop2PianoConfig, SeamlessM4TConfig, SeamlessM4Tv2Config, SpeechEncoderDecoderConfig, Speech2TextConfig, SpeechT5Config, WhisperConfig.
-
-During handling of the above exception, another exception occurred:
-
-Traceback (most recent call last):
-  File "/tmp/.cache/uv/environments-v2/e265c82f8ee277ed/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/e265c82f8ee277ed/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained
+  File "/tmp/.cache/uv/environments-v2/e265c82f8ee277ed/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1362, in from_pretrained
     raise ValueError(
-    ...<2 lines>...
+    ...<8 lines>...
     )
-ValueError: Unrecognized configuration class <class 'transformers_modules.zai_hyphen_org.GLM_hyphen_ASR_hyphen_Nano_hyphen_2512.91967eab799804ab256a3819a085b92378906eb2.configuration_glmasr.GlmasrConfig'> for this kind of AutoModel: AutoModelForSpeechSeq2Seq.
-Model type should be one of DiaConfig, GraniteSpeechConfig, KyutaiSpeechToTextConfig, MoonshineConfig, Pop2PianoConfig, SeamlessM4TConfig, SeamlessM4Tv2Config, SpeechEncoderDecoderConfig, Speech2TextConfig, SpeechT5Config, WhisperConfig.
-
-
+ValueError: The checkpoint you are trying to load has model type `glmasr` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.
 
+You can update Transformers with the command `pip install --upgrade transformers`. If this does not work, and the checkpoint is very new, then there may not be a release version that supports this model yet. In this case, you can get the most up-to-date code by installing Transformers from source with the command `pip install git+https://github.com/huggingface/transformers.git`