Upload vandijklab_C2S-Scale-Gemma-2-27B_0.txt with huggingface_hub

vandijklab_C2S-Scale-Gemma-2-27B_0.txt

@@ -0,0 +1,87 @@
+```CODE: 
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="vandijklab/C2S-Scale-Gemma-2-27B")
+```
+
+ERROR: 
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/787d286a2a85a9de/lib/python3.13/site-packages/transformers/convert_slow_tokenizer.py", line 1640, in extract_vocab_merges_from_model
+    from tiktoken.load import load_tiktoken_bpe
+ModuleNotFoundError: No module named 'tiktoken'
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/787d286a2a85a9de/lib/python3.13/site-packages/transformers/convert_slow_tokenizer.py", line 1783, in convert_slow_tokenizer
+    ).converted()
+      ~~~~~~~~~^^
+  File "/tmp/.cache/uv/environments-v2/787d286a2a85a9de/lib/python3.13/site-packages/transformers/convert_slow_tokenizer.py", line 1677, in converted
+    tokenizer = self.tokenizer()
+  File "/tmp/.cache/uv/environments-v2/787d286a2a85a9de/lib/python3.13/site-packages/transformers/convert_slow_tokenizer.py", line 1670, in tokenizer
+    vocab_scores, merges = self.extract_vocab_merges_from_model(self.vocab_file)
+                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/787d286a2a85a9de/lib/python3.13/site-packages/transformers/convert_slow_tokenizer.py", line 1642, in extract_vocab_merges_from_model
+    raise ValueError(
+        "`tiktoken` is required to read a `tiktoken` file. Install it with `pip install tiktoken`."
+    )
+ValueError: `tiktoken` is required to read a `tiktoken` file. Install it with `pip install tiktoken`.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/787d286a2a85a9de/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-v2/787d286a2a85a9de/lib/python3.13/site-packages/transformers/models/gemma/tokenization_gemma_fast.py", line 100, in __init__
+    super().__init__(
+    ~~~~~~~~~~~~~~~~^
+        vocab_file=vocab_file,
+        ^^^^^^^^^^^^^^^^^^^^^^
+    ...<8 lines>...
+        **kwargs,
+        ^^^^^^^^^
+    )
+    ^
+  File "/tmp/.cache/uv/environments-v2/787d286a2a85a9de/lib/python3.13/site-packages/transformers/tokenization_utils_fast.py", line 139, in __init__
+    fast_tokenizer = convert_slow_tokenizer(self, from_tiktoken=True)
+  File "/tmp/.cache/uv/environments-v2/787d286a2a85a9de/lib/python3.13/site-packages/transformers/convert_slow_tokenizer.py", line 1785, in convert_slow_tokenizer
+    raise ValueError(
+    ...<3 lines>...
+    )
+ValueError: Converting from SentencePiece and Tiktoken failed, if a converter for SentencePiece is available, provide a model path with a SentencePiece tokenizer.model file.Currently available slow->fast converters: ['AlbertTokenizer', 'BartTokenizer', 'BarthezTokenizer', 'BertTokenizer', 'BigBirdTokenizer', 'BlenderbotTokenizer', 'CamembertTokenizer', 'CLIPTokenizer', 'CodeGenTokenizer', 'ConvBertTokenizer', 'DebertaTokenizer', 'DebertaV2Tokenizer', 'DistilBertTokenizer', 'DPRReaderTokenizer', 'DPRQuestionEncoderTokenizer', 'DPRContextEncoderTokenizer', 'ElectraTokenizer', 'FNetTokenizer', 'FunnelTokenizer', 'GPT2Tokenizer', 'HerbertTokenizer', 'LayoutLMTokenizer', 'LayoutLMv2Tokenizer', 'LayoutLMv3Tokenizer', 'LayoutXLMTokenizer', 'LongformerTokenizer', 'LEDTokenizer', 'LxmertTokenizer', 'MarkupLMTokenizer', 'MBartTokenizer', 'MBart50Tokenizer', 'MPNetTokenizer', 'MobileBertTokenizer', 'MvpTokenizer', 'NllbTokenizer', 'OpenAIGPTTokenizer', 'PegasusTokenizer', 'Qwen2Tokenizer', 'RealmTokenizer', 'ReformerTokenizer', 'RemBertTokenizer', 'RetriBertTokenizer', 'RobertaTokenizer', 'RoFormerTokenizer', 'SeamlessM4TTokenizer', 'SqueezeBertTokenizer', 'T5Tokenizer', 'UdopTokenizer', 'WhisperTokenizer', 'XLMRobertaTokenizer', 'XLNetTokenizer', 'SplinterTokenizer', 'XGLMTokenizer', 'LlamaTokenizer', 'CodeLlamaTokenizer', 'GemmaTokenizer', 'Phi3Tokenizer']
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/tmp/vandijklab_C2S-Scale-Gemma-2-27B_08O9wMA.py", line 19, in <module>
+    pipe = pipeline("text-generation", model="vandijklab/C2S-Scale-Gemma-2-27B")
+  File "/tmp/.cache/uv/environments-v2/787d286a2a85a9de/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1078, in pipeline
+    raise e
+  File "/tmp/.cache/uv/environments-v2/787d286a2a85a9de/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-v2/787d286a2a85a9de/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-v2/787d286a2a85a9de/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-v2/787d286a2a85a9de/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-v2/787d286a2a85a9de/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.
+