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-280/scheduler.pt from sallywww/codeLLaMA_oneStep_fuzzTargets: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/sallywww/codeLLaMA_oneStep_fuzzTargets/resolve/main/checkpoint-280/scheduler.pt
- Command line
-
hf download hf://sallywww/codeLLaMA_oneStep_fuzzTargets/checkpoint-280/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/sallywww/codeLLaMA_oneStep_fuzzTargets/resolve/main/checkpoint-280/scheduler.pt
1.06 kB
- Xet hash:
- 6cda33a8c52dc65971f8c94b7392b596fa403151db2dfefb123f6745a19b6745
- Size of remote file:
- 1.06 kB
- SHA256:
- 326b29a713a65b60d1cdb16e40a0ac0c9e0bc23145aea4ec7d4e2e525de2f511
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