Instructions to use sergioalves/3f44d4b3-e728-4704-8608-f90a2af1831b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/3f44d4b3-e728-4704-8608-f90a2af1831b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-Mistral-7B-DPO") model = PeftModel.from_pretrained(base_model, "sergioalves/3f44d4b3-e728-4704-8608-f90a2af1831b") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from sergioalves/3f44d4b3-e728-4704-8608-f90a2af1831b: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
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https://huggingface.co/sergioalves/3f44d4b3-e728-4704-8608-f90a2af1831b/resolve/main/tokenizer.json
- Command line
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hf download hf://sergioalves/3f44d4b3-e728-4704-8608-f90a2af1831b/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/sergioalves/3f44d4b3-e728-4704-8608-f90a2af1831b/resolve/main/tokenizer.json
3.51 MB
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