Instructions to use selectorseb/s2-oracle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use selectorseb/s2-oracle with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meetkai/functionary-small-v3.2") model = PeftModel.from_pretrained(base_model, "selectorseb/s2-oracle") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f0c98b7cd33857283ddb71f9e6c4a93244c69cf5dcc158ff6430293ffb8d432
- Size of remote file:
- 6.39 GB
- SHA256:
- 9fb8750fce81f8d1c0f032ca24bcff4effc15752759b94e618dc386e2eb9197c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.