Instructions to use fibleep/Llama-3.2-3B-Fish-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fibleep/Llama-3.2-3B-Fish-Instruct with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fibleep/Llama-3.2-3B-Fish-Instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from fibleep/Llama-3.2-3B-Fish-Instruct: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/fibleep/Llama-3.2-3B-Fish-Instruct/resolve/main/tokenizer.json
- Command line
-
hf download hf://fibleep/Llama-3.2-3B-Fish-Instruct/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/fibleep/Llama-3.2-3B-Fish-Instruct/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 4db066085ef483d2e4f6c8cc7b7e2c1004bbe99e41e8472be5596e6c8cfc1009
- Size of remote file:
- 17.2 MB
- SHA256:
- c92e1d3dfed39b1a81350373f7c7b17c088853e9927838e8710e6a5e16c7e45f
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