Instructions to use Raneechu/textbookbig12_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Raneechu/textbookbig12_ft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "Raneechu/textbookbig12_ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82a46b276a419f6ebbf2690a010c0c45c9c3ef057cc3476924e4067b569479ca
- Size of remote file:
- 5.05 kB
- SHA256:
- 348b60547c891111958b72fe8a70d9dfc84cd0d4b9ee196168eec973ac3744b5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.