Instructions to use Billyyy/llama_8K_extended with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Billyyy/llama_8K_extended with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Billyyy/llama_8K_extended", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Billyyy/llama_8K_extended: direct link, hf CLI and curl.
- Browser
- Download file 18.5 MB
-
https://huggingface.co/Billyyy/llama_8K_extended/resolve/main/tokenizer.json
- Command line
-
hf download hf://Billyyy/llama_8K_extended/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Billyyy/llama_8K_extended/resolve/main/tokenizer.json
18.5 MB
- Xet hash:
- a4713d49d3047ac1817cee03b6e4a6d70fc751dfd956fe18bd8c76b98bceedc2
- Size of remote file:
- 18.5 MB
- SHA256:
- 1a16386f9613f1c3c5ccca061f3d5a625c6fc2c928b787fecb4531cf27e6f3dc
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