Instructions to use sindhusatish97/SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sindhusatish97/SFT with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sindhusatish97/SFT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from sindhusatish97/SFT: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/sindhusatish97/SFT/resolve/main/tokenizer.json
- Command line
-
hf download hf://sindhusatish97/SFT/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/sindhusatish97/SFT/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- bd892682ce3ddb89ac567a34aa8c976dfd634306bec010b7169cf536e5f84c2b
- Size of remote file:
- 17.2 MB
- SHA256:
- 2cf356885cccc24896536ed508e0564c2b80fed489b0ea5cbdd6b4a114dcbced
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