import torch
from transformers import pipeline, AutoModel, AutoTokenizer
model_id = "ai4bharat/IndicBERTv2-alpha-SentimentClassification"
tokenizer = AutoTokenizer.from_pretrained(model_id, keep_accents=True)
model = AutoModel.from_pretrained(model_id).to("cuda")
Error
ValueError Traceback (most recent call last)
[<ipython-input-8-faa308d63e88>](https://localhost:8080/#) in <cell line: 2>()
1 model_id = "ai4bharat/IndicBERTv2-alpha-SentimentClassification"
----> 2 tokenizer = AutoTokenizer.from_pretrained(model_id, keep_accents=True)
3 model = AutoModel.from_pretrained(model_id).to("cuda")
[/usr/local/lib/python3.10/dist-packages/transformers/models/auto/tokenization_auto.py](https://localhost:8080/#) in from_pretrained(cls, pretrained_model_name_or_path, *inputs, **kwargs)
892 tokenizer_class = tokenizer_class_from_name(tokenizer_class_candidate)
893 if tokenizer_class is None:
--> 894 raise ValueError(
895 f"Tokenizer class {tokenizer_class_candidate} does not exist or is not currently imported."
896 )
ValueError: Tokenizer class IndicBERTSentencePieceTokenizer does not exist or is not currently imported.
Code
Error