Instructions to use utahnlp/RepLlama3-8B-RLHN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use utahnlp/RepLlama3-8B-RLHN with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("meta-llama/Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "utahnlp/RepLlama3-8B-RLHN") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from utahnlp/RepLlama3-8B-RLHN: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
-
https://huggingface.co/utahnlp/RepLlama3-8B-RLHN/resolve/main/tokenizer.json
- Command line
-
hf download hf://utahnlp/RepLlama3-8B-RLHN/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/utahnlp/RepLlama3-8B-RLHN/resolve/main/tokenizer.json
9.09 MB
File too large to display, you can check the raw version instead.