Instructions to use ClaudiaRichard/Instruct-FT-IM-Leetcode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ClaudiaRichard/Instruct-FT-IM-Leetcode with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/CodeLlama-7b-Instruct-hf") model = PeftModel.from_pretrained(base_model, "ClaudiaRichard/Instruct-FT-IM-Leetcode") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ClaudiaRichard/Instruct-FT-IM-Leetcode: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/ClaudiaRichard/Instruct-FT-IM-Leetcode/resolve/main/training_args.bin
- Command line
-
hf download hf://ClaudiaRichard/Instruct-FT-IM-Leetcode/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ClaudiaRichard/Instruct-FT-IM-Leetcode/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- de929c4cb21e9b94169f6e21f787c89ae2c65baf288e4a366e70d24e81685934
- Size of remote file:
- 4.86 kB
- SHA256:
- 135ef52bd60ad5bc82ca18c4a286cfac838c30acacfc187a3cce01b334146730
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