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-160/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-160/optimizer.pt
- Command line
-
hf download hf://sallywww/codeLLaMA_oneStep_fuzzTargets/checkpoint-160/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/sallywww/codeLLaMA_oneStep_fuzzTargets/resolve/main/checkpoint-160/optimizer.pt
134 MB
- Xet hash:
- 81c23c4a926ba18bc4504c4656f367572a092f5c31c51c426879c61f6971494f
- Size of remote file:
- 134 MB
- SHA256:
- 31d666de4a36e9f322bf3bc17b971294f63e1062b91f96c542029442ec23e59c
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