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 generation_config.json from fwtan/llama-1.1b-converted: direct link, hf CLI and curl.
- Browser
- Download file 129 Bytes
-
https://huggingface.co/fwtan/llama-1.1b-converted/resolve/main/generation_config.json
- Command line
-
hf download hf://fwtan/llama-1.1b-converted/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/fwtan/llama-1.1b-converted/resolve/main/generation_config.json
129 Bytes
- Xet hash:
- 27404c46aad7d43bf04c00603c4433523404d6318276fb16da0b96f1c56a8813
- Size of remote file:
- 129 Bytes
- SHA256:
- f1b365a56bb841deafa4079eaa95875f50e3c3954141b608d2d45f4b5e06103c
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