Instructions to use simonycl/Llama-3-8B-DPO-Iter5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonycl/Llama-3-8B-DPO-Iter5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("simonycl/Llama-3-8B-DPO-Iter5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from simonycl/Llama-3-8B-DPO-Iter5: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/simonycl/Llama-3-8B-DPO-Iter5/resolve/main/tokenizer.json
- Command line
-
hf download hf://simonycl/Llama-3-8B-DPO-Iter5/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/simonycl/Llama-3-8B-DPO-Iter5/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 3f8ab02ab5ba981c86390c96097b4e7fab72a611608e8506b21678ceb431634f
- Size of remote file:
- 17.2 MB
- SHA256:
- 2539802b4016767e5475c0fa774895f4c33683f7c2ed9df643a61279e9ef1bd2
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