Instructions to use vidula123/Vidula_Multilanguage_Finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vidula123/Vidula_Multilanguage_Finetune with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vidula123/Vidula_Multilanguage_Finetune") model = AutoModelForSeq2SeqLM.from_pretrained("vidula123/Vidula_Multilanguage_Finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from vidula123/Vidula_Multilanguage_Finetune: direct link, hf CLI and curl.
- Browser
- Download file 812 kB
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https://huggingface.co/vidula123/Vidula_Multilanguage_Finetune/resolve/main/source.spm
- Command line
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hf download hf://vidula123/Vidula_Multilanguage_Finetune/source.spm
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curl -L -o source.spm https://huggingface.co/vidula123/Vidula_Multilanguage_Finetune/resolve/main/source.spm
812 kB
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