Instructions to use rreit/codeLlama13B-StaproCoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rreit/codeLlama13B-StaproCoder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-13b-hf") model = PeftModel.from_pretrained(base_model, "rreit/codeLlama13B-StaproCoder") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from rreit/codeLlama13B-StaproCoder: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/rreit/codeLlama13B-StaproCoder/resolve/main/training_args.bin
- Command line
-
hf download hf://rreit/codeLlama13B-StaproCoder/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rreit/codeLlama13B-StaproCoder/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- a3b13c6f1ecc80d13697132fa11b45ec68450e79f3895e8e9263c519f09fcf81
- Size of remote file:
- 4.92 kB
- SHA256:
- 93b6c16f2193b9a56db14491325a400b4042fe27bb3c9680636968f16c67aece
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