ValueError: Converting from SentencePiece and Tiktoken failed
I just got this error. I simply run the code as it is shown in Use this model -> Transformers.
File "/home/Ubuntu/miniconda3/lib/python3.12/site-packages/transformers/convert_slow_tokenizer.py", line 1739, in convert_slow_tokenizer
raise ValueError(
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']
The code is this:
import torch
from transformers import AutoProcessor, AutoModelForVision2Seq
processor = AutoProcessor.from_pretrained("mervinpraison/Llama-3.2-11B-Vision-Radiology-mini")
model = AutoModelForVision2Seq.from_pretrained("mervinpraison/Llama-3.2-11B-Vision-Radiology-mini")