Instructions to use ParamDev/llama-3.2-3b-synlora-json with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ParamDev/llama-3.2-3b-synlora-json with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ParamDev/llama-3.2-3b-synlora-json", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ParamDev/llama-3.2-3b-synlora-json: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/ParamDev/llama-3.2-3b-synlora-json/resolve/main/tokenizer.json
- Command line
-
hf download hf://ParamDev/llama-3.2-3b-synlora-json/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ParamDev/llama-3.2-3b-synlora-json/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 528735ef1f6af0f8c94e4429e1d01cef219578f17047d21e03cd877e05d84bf1
- Size of remote file:
- 17.2 MB
- SHA256:
- 52716f60c3ad328509fa37cdded9a2f1196ecae463f5480f5d38c66a25e7a7dc
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