Upload utter-project_EuroLLM-1.7B_0.txt with huggingface_hub

utter-project_EuroLLM-1.7B_0.txt

@@ -0,0 +1,61 @@
+```CODE: 
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="utter-project/EuroLLM-1.7B")
+```
+
+ERROR: 
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/3c00d0927f67afe2/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-v2/3c00d0927f67afe2/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-v2/3c00d0927f67afe2/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.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/tmp/utter-project_EuroLLM-1.7B_0opO2GF.py", line 19, in <module>
+    pipe = pipeline("text-generation", model="utter-project/EuroLLM-1.7B")
+  File "/tmp/.cache/uv/environments-v2/3c00d0927f67afe2/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1078, in pipeline
+    raise e
+  File "/tmp/.cache/uv/environments-v2/3c00d0927f67afe2/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-v2/3c00d0927f67afe2/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-v2/3c00d0927f67afe2/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-v2/3c00d0927f67afe2/lib/python3.13/site-packages/transformers/tokenization_utils_base.py", line 2344, in _from_pretrained
+    except import_protobuf_decode_error():
+           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
+  File "/tmp/.cache/uv/environments-v2/3c00d0927f67afe2/lib/python3.13/site-packages/transformers/tokenization_utils_base.py", line 87, in import_protobuf_decode_error
+    raise ImportError(PROTOBUF_IMPORT_ERROR.format(error_message))
+ImportError: 
+ requires the protobuf library but it was not found in your environment. Check out the instructions on the
+installation page of its repo: https://github.com/protocolbuffers/protobuf/tree/master/python#installation and follow the ones
+that match your environment. Please note that you may need to restart your runtime after installation.
+