Upload PleIAs_Baguettotron_0.txt with huggingface_hub

PleIAs_Baguettotron_0.txt

@@ -0,0 +1,37 @@
+```CODE: 
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="PleIAs/Baguettotron")
+messages = [
+    {"role": "user", "content": "Who are you?"},
+]
+pipe(messages)
+```
+
+ERROR: 
+Traceback (most recent call last):
+  File "/tmp/PleIAs_Baguettotron_07mtSLc.py", line 30, in <module>
+    pipe(messages)
+    ~~~~^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/54d28e31a94a0260/lib/python3.13/site-packages/transformers/pipelines/text_generation.py", line 325, in __call__
+    return super().__call__(Chat(text_inputs), **kwargs)
+           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/54d28e31a94a0260/lib/python3.13/site-packages/transformers/pipelines/base.py", line 1467, in __call__
+    return self.run_single(inputs, preprocess_params, forward_params, postprocess_params)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/54d28e31a94a0260/lib/python3.13/site-packages/transformers/pipelines/base.py", line 1473, in run_single
+    model_inputs = self.preprocess(inputs, **preprocess_params)
+  File "/tmp/.cache/uv/environments-v2/54d28e31a94a0260/lib/python3.13/site-packages/transformers/pipelines/text_generation.py", line 363, in preprocess
+    inputs = self.tokenizer.apply_chat_template(
+        prompt_text.messages,
+    ...<4 lines>...
+        **tokenizer_kwargs,
+    )
+  File "/tmp/.cache/uv/environments-v2/54d28e31a94a0260/lib/python3.13/site-packages/transformers/tokenization_utils_base.py", line 1646, in apply_chat_template
+    chat_template = self.get_chat_template(chat_template, tools)
+  File "/tmp/.cache/uv/environments-v2/54d28e31a94a0260/lib/python3.13/site-packages/transformers/tokenization_utils_base.py", line 1824, in get_chat_template
+    raise ValueError(
+    ...<4 lines>...
+    )
+ValueError: Cannot use chat template functions because tokenizer.chat_template is not set and no template argument was passed! For information about writing templates and setting the tokenizer.chat_template attribute, please see the documentation at https://huggingface.co/docs/transformers/main/en/chat_templating