Instructions to use VictorDCh/Llama-3-8B-Instruct-2-spider-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VictorDCh/Llama-3-8B-Instruct-2-spider-3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "VictorDCh/Llama-3-8B-Instruct-2-spider-3") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from VictorDCh/Llama-3-8B-Instruct-2-spider-3: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
-
https://huggingface.co/VictorDCh/Llama-3-8B-Instruct-2-spider-3/resolve/3f97000f903f9466f05815038da5fa7c34bb3fa5/tokenizer.json
- Command line
-
hf download hf://VictorDCh/Llama-3-8B-Instruct-2-spider-3@3f97000f903f9466f05815038da5fa7c34bb3fa5/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/VictorDCh/Llama-3-8B-Instruct-2-spider-3/resolve/3f97000f903f9466f05815038da5fa7c34bb3fa5/tokenizer.json
9.09 MB
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