Instructions to use Fayaz/instruct_model_law_data_Llama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fayaz/instruct_model_law_data_Llama with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Fayaz/instruct_model_law_data_Llama", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Fayaz/instruct_model_law_data_Llama: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Fayaz/instruct_model_law_data_Llama/resolve/main/tokenizer.json
- Command line
-
hf download hf://Fayaz/instruct_model_law_data_Llama/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Fayaz/instruct_model_law_data_Llama/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 6b3d1c018418ff574af2ac12cdc3b9a5cfab3a117a08ba47d966d3e76e5f083b
- Size of remote file:
- 11.4 MB
- SHA256:
- 694f1174c5bdf94e2fc50796c0f1733a5a3945ff110b0dfa40ea0701cc9c9c42
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