Upload utter-project_EuroLLM-9B_1.txt with huggingface_hub

utter-project_EuroLLM-9B_1.txt

@@ -1,47 +1 @@
-```CODE: 
-# Use a pipeline as a high-level helper
-from transformers import pipeline
-
-pipe = pipeline("text-generation", model="utter-project/EuroLLM-9B")
-```
-
-ERROR: 
-Traceback (most recent call last):
-  File "/tmp/utter-project_EuroLLM-9B_1xfZBeJ.py", line 24, in <module>
-    pipe = pipeline("text-generation", model="utter-project/EuroLLM-9B")
-  File "/tmp/.cache/uv/environments-v2/ab60391da2086f05/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1078, in pipeline
-    raise e
-  File "/tmp/.cache/uv/environments-v2/ab60391da2086f05/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1073, in pipeline
-    tokenizer = AutoTokenizer.from_pretrained(
-        tokenizer_identifier, use_fast=use_fast, _from_pipeline=task, **hub_kwargs, **tokenizer_kwargs
-    )
-  File "/tmp/.cache/uv/environments-v2/ab60391da2086f05/lib/python3.13/site-packages/transformers/models/auto/tokenization_auto.py", line 1140, in from_pretrained
-    return tokenizer_class.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs)
-           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/tmp/.cache/uv/environments-v2/ab60391da2086f05/lib/python3.13/site-packages/transformers/tokenization_utils_base.py", line 2097, in from_pretrained
-    return cls._from_pretrained(
-           ~~~~~~~~~~~~~~~~~~~~^
-        resolved_vocab_files,
-        ^^^^^^^^^^^^^^^^^^^^^
-    ...<9 lines>...
-        **kwargs,
-        ^^^^^^^^^
-    )
-    ^
-  File "/tmp/.cache/uv/environments-v2/ab60391da2086f05/lib/python3.13/site-packages/transformers/tokenization_utils_base.py", line 2343, in _from_pretrained
-    tokenizer = cls(*init_inputs, **init_kwargs)
-  File "/tmp/.cache/uv/environments-v2/ab60391da2086f05/lib/python3.13/site-packages/transformers/models/llama/tokenization_llama_fast.py", line 154, in __init__
-    super().__init__(
-    ~~~~~~~~~~~~~~~~^
-        vocab_file=vocab_file,
-        ^^^^^^^^^^^^^^^^^^^^^^
-    ...<10 lines>...
-        **kwargs,
-        ^^^^^^^^^
-    )
-    ^
-  File "/tmp/.cache/uv/environments-v2/ab60391da2086f05/lib/python3.13/site-packages/transformers/tokenization_utils_fast.py", line 108, in __init__
-    raise ValueError(
-    ...<2 lines>...
-    )
-ValueError: Cannot instantiate this tokenizer from a slow version. If it's based on sentencepiece, make sure you have sentencepiece installed.
+Everything was good in utter-project_EuroLLM-9B_1.txt