Instructions to use Gargaz/llama-2-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use Gargaz/llama-2-7b with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("Gargaz/llama-2-7b", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from Gargaz/llama-2-7b: direct link, hf CLI and curl.
- Browser
- Download file 500 kB
-
https://huggingface.co/Gargaz/llama-2-7b/resolve/main/tokenizer.model
- Command line
-
hf download hf://Gargaz/llama-2-7b/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/Gargaz/llama-2-7b/resolve/main/tokenizer.model
500 kB
- Xet hash:
- 91bf184ab12793d0754344f9095332759432e666320cc6c07f637af50e36db6f
- Size of remote file:
- 500 kB
- SHA256:
- 9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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