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:
- a84a055b4cbb7b11cd09bd5cfcefbdc5b26f59c69b9fc260b35ba1ea6465d4ad
- Size of remote file:
- 6.39 GB
- SHA256:
- 4543cfdedc0fcc5febfb1f61b6cd94a9a1232990c59af06db637d601072a09ff
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