Instructions to use Raneechu/textbookbig9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Raneechu/textbookbig9 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/textbookbig9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d425375f1e695bbf8911b779eeb10409653826cb4ede3a530d909d1133e33f1c
- Size of remote file:
- 5.05 kB
- SHA256:
- 5f3708c556b8e4c5b4154c29948c8484669ea8d3d6e64c2f49420b9f935d3f17
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.