STT-Model / IndicTrans2 /huggingface_interface /IndicTransToolkit /tokenizer_training /my_tokenizer /preprocessing.py
Download IndicTrans2/huggingface_interface/IndicTransToolkit/tokenizer_training/my_tokenizer/preprocessing.py from viditk/STT-Model: direct link, hf CLI and curl.
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https://huggingface.co/spaces/viditk/STT-Model/resolve/main/IndicTrans2/huggingface_interface/IndicTransToolkit/tokenizer_training/my_tokenizer/preprocessing.py
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hf download hf://spaces/viditk/STT-Model/IndicTrans2/huggingface_interface/IndicTransToolkit/tokenizer_training/my_tokenizer/preprocessing.py
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curl -L -o preprocessing.py https://huggingface.co/spaces/viditk/STT-Model/resolve/main/IndicTrans2/huggingface_interface/IndicTransToolkit/tokenizer_training/my_tokenizer/preprocessing.py
805 Bytes
| from transformers import AutoTokenizer, AutoModelForSeq2SeqLM | |
| # Load your custom tokenizer (adjust paths) | |
| tokenizer = AutoTokenizer.from_pretrained("IndicTrans2/huggingface_interface/IndicTransToolkit/tokenizer_training/my_tokenizer/tokenizer.json") | |
| # Load IndicTrans2 model properly | |
| model = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/indictrans2-indic-en-1B", ignore_mismatched_sizes=True) | |
| # Resize embeddings to match new tokenizer | |
| model.resize_token_embeddings(len(tokenizer)) | |
| # Save updated model & tokenizer | |
| model.save_pretrained("IndicTrans2/huggingface_interface/IndicTransToolkit/tokenizer_training/my_tokenizer/converted_tokenizer/new_model") | |
| tokenizer.save_pretrained("IndicTrans2/huggingface_interface/IndicTransToolkit/tokenizer_training/my_tokenizer/converted_tokenizer/new_model") | |