Instructions to use feedback-to-code/swe-diff-llama-3-8B-Instruct-First with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use feedback-to-code/swe-diff-llama-3-8B-Instruct-First with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "feedback-to-code/swe-diff-llama-3-8B-Instruct-First") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c96950e3342172b767c566b93eac2070faeb4f364976a879b03baf8467dd5c3
- Size of remote file:
- 84.6 MB
- SHA256:
- 5d51366f38860fe6dfe30dcf4ed9ebab4e79a637cf908b72c6a1b66c4721e3df
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