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  • Exception occurred when using lora-grpo #1764 - GitHub
    [tokenizer py:281] No tokenizer found in simon-stub-path, using base model tokenizer instead (Exception: Repo id must use alphanumeric chars or '-', '_', ' ', '--' and ' ' are forbidden, '-' and ' ' cannot start or end the name, max l
  • meta-llama Llama-3. 1-8B · Tokenizer. model - Hugging Face
    I have downloaded the model and followed the instructions, but I'm encountering a problem where the tokenizer is recognized as a 'bool' object instead of the expected class This results in an error when trying to tokenize input text
  • Hugging Face Transformers Model is not compatible with the tokenizer
    ValueError: The model and tokenizer are not compatible The root cause of this problem is often due to mismatched versions of the model and tokenizer Each model in the Hugging Face library is associated with a specific tokenizer that is designed to preprocess text in a way that the model expects
  • vllm. transformers_utils. tokenizer - vLLM
    def get_lora_tokenizer (lora_request: LoRARequest, * args, ** kwargs)-> Optional [AnyTokenizer]: if lora_request is None: return None try: tokenizer = get_tokenizer (lora_request lora_path, * args, ** kwargs) except Exception as e: # No tokenizer was found in the LoRA folder, # use base model tokenizer logger warning ("No tokenizer found in
  • Issue with Loading Custom Tokenizer: Tokenizer class BaseTokenizer does . . .
    When loading the tokenizer, it downloads tokenizer_config json and vocab json but then fails with the Tokenizer class BaseTokenizer does not exist or is not currently imported error Has anyone else encountered this issue or have suggestions on what might be going wrong?
  • Could not find tokenizer. model in llama2 #3256 - GitHub
    After training the llama2 model, I do not have a "tokenizer model" file Instead, the model directory contains the following files: $ ls llama2-summarizer-id-2 final_merged_checkpoint config json model-00001-of-00002 safetensors model safetensors index json tokenizer_config json generation_config json model-00002-of-00002 safetensors special
  • tokenizer. model cant be loaded by SentencePiece: RuntimeError . . .
    Trying to convert the model from the meta to the hf format You are using the default legacy behaviour of the <class 'transformers models llama tokenization_llama_fast LlamaTokenizerFast'> This is expected, and simply means that the legacy (previous) behavior will be used so nothing changes for you
  • “OSError: Model name . XX was not found in tokenizers model name list . . .
    I’m trying to create tokenizer with my own dataset vocabulary using Sentencepiece and then use it with AlbertTokenizer transformers
  • vllm vllm transformers_utils tokenizer. py at main - GitHub
    Consider using a fast tokenizer instead ") tokenizer = get_cached_tokenizer (tokenizer) return tokenizer cached_get_tokenizer = lru_cache (get_tokenizer) def cached_tokenizer_from_config ( model_config: "ModelConfig", **kwargs: Any, ): return cached_get_tokenizer ( model_config tokenizer, tokenizer_mode=model_config tokenizer_mode,





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