Upload utter-project_EuroLLM-9B_2.txt with huggingface_hub

utter-project_EuroLLM-9B_2.txt

@@ -8,6 +8,21 @@ model = AutoModelForCausalLM.from_pretrained("utter-project/EuroLLM-9B")
 
 ERROR: 
 Traceback (most recent call last):
+  File "/tmp/utter-project_EuroLLM-9B_21djTTe.py", line 24, in <module>
+    tokenizer = AutoTokenizer.from_pretrained("utter-project/EuroLLM-9B")
+  File "/tmp/.cache/uv/environments-v2/31d9dd746308ee4e/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-v2/31d9dd746308ee4e/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-v2/31d9dd746308ee4e/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-v2/31d9dd746308ee4e/lib/python3.13/site-packages/transformers/models/llama/tokenization_llama_fast.py", line 154, in __init__
@@ -25,32 +40,3 @@ Traceback (most recent call last):
     ...<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-9B_2eLuKOM.py", line 19, in <module>
-    tokenizer = AutoTokenizer.from_pretrained("utter-project/EuroLLM-9B")
-  File "/tmp/.cache/uv/environments-v2/31d9dd746308ee4e/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-v2/31d9dd746308ee4e/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-v2/31d9dd746308ee4e/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-v2/31d9dd746308ee4e/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.
-