Instructions to use fwtan/llama-1.1b-converted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fwtan/llama-1.1b-converted with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fwtan/llama-1.1b-converted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from fwtan/llama-1.1b-converted: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/fwtan/llama-1.1b-converted/resolve/main/tokenizer.json
- Command line
-
hf download hf://fwtan/llama-1.1b-converted/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/fwtan/llama-1.1b-converted/resolve/main/tokenizer.json
1.84 MB
- Xet hash:
- 8b881276aa1dfe92066d085b97a366d36ba7a0c3682a68e0423e1adc09b6e385
- Size of remote file:
- 1.84 MB
- SHA256:
- bcd04f0eadf90287bd26e1a183ac487d8a141b09b06aecb7725bbdd343640f2e
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