Instructions to use Anwaarma/LlamaEDOS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anwaarma/LlamaEDOS with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Anwaarma/LlamaEDOS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Anwaarma/LlamaEDOS: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/Anwaarma/LlamaEDOS/resolve/main/tokenizer.json
- Command line
-
hf download hf://Anwaarma/LlamaEDOS/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Anwaarma/LlamaEDOS/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 1254c12d85c628552b81fd9c3c0eec753c92342141efbebc0ee09b20626a4f22
- Size of remote file:
- 17.2 MB
- SHA256:
- 00ba1ee684621217ffaa511626f3331b3ad296bff216a5e267463a74f5a21aab
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