Instructions to use Rabinovich/Code-Generation-LLM-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rabinovich/Code-Generation-LLM-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "Rabinovich/Code-Generation-LLM-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 938a20ed8ad610831171d2b86b593ddc9f106e9b752203ae2e6d3aff4058bbf3
- Size of remote file:
- 12.6 MB
- SHA256:
- 0846ac635ec4f6f6ce3acda44a08a503039c25518cd3c6ae1c66c41ce8455cec
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