Instructions to use sallywww/codeLLaMA_oneStep_fuzzTargets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sallywww/codeLLaMA_oneStep_fuzzTargets with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "sallywww/codeLLaMA_oneStep_fuzzTargets") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-60/optimizer.pt from sallywww/codeLLaMA_oneStep_fuzzTargets: direct link, hf CLI and curl.
- Browser
- Download file 134 MB
-
https://huggingface.co/sallywww/codeLLaMA_oneStep_fuzzTargets/resolve/main/checkpoint-60/optimizer.pt
- Command line
-
hf download hf://sallywww/codeLLaMA_oneStep_fuzzTargets/checkpoint-60/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/sallywww/codeLLaMA_oneStep_fuzzTargets/resolve/main/checkpoint-60/optimizer.pt
134 MB
- Xet hash:
- ae7553c61f717771fda3bbc8a3b30daa106516c035ecd57f4954e22fd038a454
- Size of remote file:
- 134 MB
- SHA256:
- 958f88114adb65c9c19c715af6e5875bfcaf089b9f6696ddd679c10d57c7fcf6
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