Instructions to use 22KS/ISAAC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 22KS/ISAAC with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "22KS/ISAAC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b48f31706eeecb87a8f82c3dbd271ac17fa6b12bdac6e21ae56cb91553c49b29
- Size of remote file:
- 134 MB
- SHA256:
- 63a6cab611bfcaadd0ea97163735963140847f9ddcdafe31f453ec2379d1294f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.