Instructions to use sallywww/LLaMA_oneStep_fuzzTragets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sallywww/LLaMA_oneStep_fuzzTragets with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("baffo32/decapoda-research-llama-7B-hf") model = PeftModel.from_pretrained(base_model, "sallywww/LLaMA_oneStep_fuzzTragets") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-2000/optimizer.pt from sallywww/LLaMA_oneStep_fuzzTragets: direct link, hf CLI and curl.
- Browser
- Download file 33.7 MB
-
https://huggingface.co/sallywww/LLaMA_oneStep_fuzzTragets/resolve/main/checkpoint-2000/optimizer.pt
- Command line
-
hf download hf://sallywww/LLaMA_oneStep_fuzzTragets/checkpoint-2000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/sallywww/LLaMA_oneStep_fuzzTragets/resolve/main/checkpoint-2000/optimizer.pt
33.7 MB
- Xet hash:
- 01a5ba4f6bc0bf43e28406c4d27371db2b607f94d91115feb95a95f4a01e14f5
- Size of remote file:
- 33.7 MB
- SHA256:
- e0c2d6afa5a1972eb5194af407ad24a0157211115d72bc58cb8bc735a4c973c1
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