Upload zai-org_GLM-ASR-Nano-2512_1.txt with huggingface_hub

zai-org_GLM-ASR-Nano-2512_1.txt

@@ -1,26 +1,39 @@
 ```CODE: 
 # Load model directly
-from transformers import AutoModelForCausalLM
-model = AutoModelForCausalLM.from_pretrained("zai-org/GLM-ASR-Nano-2512", trust_remote_code=True, dtype="auto")
+from transformers import AutoProcessor, AutoModelForSeq2SeqLM
+
+processor = AutoProcessor.from_pretrained("zai-org/GLM-ASR-Nano-2512")
+model = AutoModelForSeq2SeqLM.from_pretrained("zai-org/GLM-ASR-Nano-2512")
 ```
 
 ERROR: 
 Traceback (most recent call last):
-  File "/tmp/zai-org_GLM-ASR-Nano-2512_1zlGi0x.py", line 25, in <module>
-    model = AutoModelForCausalLM.from_pretrained("zai-org/GLM-ASR-Nano-2512", trust_remote_code=True, dtype="auto")
-  File "/tmp/.cache/uv/environments-v2/1f148c168d860d2b/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 586, in from_pretrained
-    model_class = get_class_from_dynamic_module(
-        class_ref, pretrained_model_name_or_path, code_revision=code_revision, **hub_kwargs, **kwargs
+  File "/tmp/.cache/uv/environments-v2/1f148c168d860d2b/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-v2/1f148c168d860d2b/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/zai-org_GLM-ASR-Nano-2512_16gFqbZ.py", line 27, in <module>
+    model = AutoModelForSeq2SeqLM.from_pretrained("zai-org/GLM-ASR-Nano-2512")
+  File "/tmp/.cache/uv/environments-v2/1f148c168d860d2b/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 549, in from_pretrained
+    config, kwargs = AutoConfig.from_pretrained(
+                     ~~~~~~~~~~~~~~~~~~~~~~~~~~^
+        pretrained_model_name_or_path,
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    ...<4 lines>...
+        **kwargs,
+        ^^^^^^^^^
+    )
+    ^
+  File "/tmp/.cache/uv/environments-v2/1f148c168d860d2b/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1362, in from_pretrained
+    raise ValueError(
+    ...<8 lines>...
     )
-  File "/tmp/.cache/uv/environments-v2/1f148c168d860d2b/lib/python3.13/site-packages/transformers/dynamic_module_utils.py", line 616, in get_class_from_dynamic_module
-    return get_class_in_module(class_name, final_module, force_reload=force_download)
-  File "/tmp/.cache/uv/environments-v2/1f148c168d860d2b/lib/python3.13/site-packages/transformers/dynamic_module_utils.py", line 311, in get_class_in_module
-    module_spec.loader.exec_module(module)
-    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^
-  File "<frozen importlib._bootstrap_external>", line 1026, in exec_module
-  File "<frozen importlib._bootstrap>", line 488, in _call_with_frames_removed
-  File "/tmp/.cache/huggingface/modules/transformers_modules/zai_hyphen_org/GLM_hyphen_ASR_hyphen_Nano_hyphen_2512/91967eab799804ab256a3819a085b92378906eb2/modeling_glmasr.py", line 9, in <module>
-    from .modeling_audio import WhisperSpecialEncoder
-  File "/tmp/.cache/huggingface/modules/transformers_modules/zai_hyphen_org/GLM_hyphen_ASR_hyphen_Nano_hyphen_2512/91967eab799804ab256a3819a085b92378906eb2/modeling_audio.py", line 7, in <module>
-    from transformers.models.whisper.modeling_whisper import WhisperEncoder, WhisperEncoderLayer, WhisperFlashAttention2
-ImportError: cannot import name 'WhisperFlashAttention2' from 'transformers.models.whisper.modeling_whisper' (/tmp/.cache/uv/environments-v2/1f148c168d860d2b/lib/python3.13/site-packages/transformers/models/whisper/modeling_whisper.py)
+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`