Instructions to use AnonymousNodeGAE/DPO-llama3-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousNodeGAE/DPO-llama3-8B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AnonymousNodeGAE/DPO-llama3-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from AnonymousNodeGAE/DPO-llama3-8B: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/AnonymousNodeGAE/DPO-llama3-8B/resolve/main/tokenizer.json
- Command line
-
hf download hf://AnonymousNodeGAE/DPO-llama3-8B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/AnonymousNodeGAE/DPO-llama3-8B/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 0ab3b0336b2c0113595973a49c588fbae9765b3dcce71132d3068b886e86070a
- Size of remote file:
- 17.2 MB
- SHA256:
- b07fa52a6f2541a154609a53eeea271c5b05dc3b888b1a482f86e9583cd5df17
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