Upload deepseek-ai_DeepSeek-V3.2-Exp_1.txt with huggingface_hub

deepseek-ai_DeepSeek-V3.2-Exp_1.txt

@@ -0,0 +1,37 @@
+```CODE: 
+# Load model directly
+from transformers import AutoModelForCausalLM
+model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-V3.2-Exp", torch_dtype="auto")
+```
+
+ERROR: 
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/ca40b4f14047fc5a/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/ca40b4f14047fc5a/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1048, in __getitem__
+    raise KeyError(key)
+KeyError: 'deepseek_v32'
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/tmp/deepseek-ai_DeepSeek-V3.2-Exp_1PWAFqQ.py", line 16, in <module>
+    model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-V3.2-Exp", torch_dtype="auto")
+  File "/tmp/.cache/uv/environments-v2/ca40b4f14047fc5a/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/ca40b4f14047fc5a/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1362, in from_pretrained
+    raise ValueError(
+    ...<8 lines>...
+    )
+ValueError: The checkpoint you are trying to load has model type `deepseek_v32` 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 This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.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`