Instructions to use zera09/llama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zera09/llama with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zera09/llama", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from zera09/llama: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/zera09/llama/resolve/main/tokenizer.json
- Command line
-
hf download hf://zera09/llama/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/zera09/llama/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 6fa041e2fbc7a16e7643f3e3e5e98c5a5ef9dee2866cdb7a1a679ad9c059a731
- Size of remote file:
- 17.2 MB
- SHA256:
- abd08b46c9c01a903788030f36d9731aad064d0c420e66b88e3e143cda9e4e9a
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