Instructions to use rreit/codellama13B-noautogen-StaproCoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rreit/codellama13B-noautogen-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-noautogen-StaproCoder") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from rreit/codellama13B-noautogen-StaproCoder: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/rreit/codellama13B-noautogen-StaproCoder/resolve/main/training_args.bin
- Command line
-
hf download hf://rreit/codellama13B-noautogen-StaproCoder/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rreit/codellama13B-noautogen-StaproCoder/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 5f387e73c343b7f0de9888af6169d2c0dccb47481acfa9dd47c6275d28e2f363
- Size of remote file:
- 4.92 kB
- SHA256:
- f7d3c86338531d761090779d6b1d21950e1d12ede3db7ba5be810c0a722d127d
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