Instructions to use A-Alsad/Falcon-40B-Instruct-SAT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use A-Alsad/Falcon-40B-Instruct-SAT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-40b-instruct") model = PeftModel.from_pretrained(base_model, "A-Alsad/Falcon-40B-Instruct-SAT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2422dd368d6258420f63d21fb5e09d5ec1be305b1503e14ca4f9ea8ea3e3ebd2
- Size of remote file:
- 1.78 GB
- SHA256:
- f290cc51aaad717fa0fb8fddecd169babc5bb9b3581afbb4e3d15c8ad670ca59
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.