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 config.json from fwtan/llama-1.1b-converted: direct link, hf CLI and curl.
- Browser
- Download file 1.15 kB
-
https://huggingface.co/fwtan/llama-1.1b-converted/resolve/main/config.json
- Command line
-
hf download hf://fwtan/llama-1.1b-converted/config.json
-
curl -L -o config.json https://huggingface.co/fwtan/llama-1.1b-converted/resolve/main/config.json
1.15 kB
- Xet hash:
- d306a2c28a31c9a48bd8722f9403e39801d56538e705318cc9ccbcd7a46e9936
- Size of remote file:
- 1.15 kB
- SHA256:
- 500434bb7075f69917cff00d5c7e21ca397fec97d8b77d15acd62fb4c0c9dff2
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