Instructions to use hiiamsid/sft_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hiiamsid/sft_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hiiamsid/sft_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download new/tokenizer.json from hiiamsid/sft_model: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/hiiamsid/sft_model/resolve/main/new/tokenizer.json
- Command line
-
hf download hf://hiiamsid/sft_model/new/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hiiamsid/sft_model/resolve/main/new/tokenizer.json
17.2 MB
- Xet hash:
- 836f6c6f4c0eb173e5207f0c05a5a1cb0fcdf04508ea4046e789422db7e3ac74
- Size of remote file:
- 17.2 MB
- SHA256:
- 8f45803ce95b0dc591fbc8aa958de57b6bdff9cbf56a18e327424f8fd960f658
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