Instructions to use anirvankrishna/model_sft_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anirvankrishna/model_sft_lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anirvankrishna/model_sft_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from anirvankrishna/model_sft_lora: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/anirvankrishna/model_sft_lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://anirvankrishna/model_sft_lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/anirvankrishna/model_sft_lora/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- d8ca5ec51a8400d30ae6d6581d5f1b34091d05078c4075fdfae04cb525d26a58
- Size of remote file:
- 11.4 MB
- SHA256:
- ca61341b92695acbf1b113e634d6c29ed3e4212ef412f7498df4280a743865dc
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