Instructions to use OpenRLHF/Llama-3-8b-rm-mixture with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenRLHF/Llama-3-8b-rm-mixture with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("OpenRLHF/Llama-3-8b-rm-mixture") model = AutoModel.from_pretrained("OpenRLHF/Llama-3-8b-rm-mixture", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from OpenRLHF/Llama-3-8b-rm-mixture: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
-
https://huggingface.co/OpenRLHF/Llama-3-8b-rm-mixture/resolve/main/tokenizer.json
- Command line
-
hf download hf://OpenRLHF/Llama-3-8b-rm-mixture/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/OpenRLHF/Llama-3-8b-rm-mixture/resolve/main/tokenizer.json
9.09 MB
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