Instructions to use phdatdt/binary_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use phdatdt/binary_classification with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "phdatdt/binary_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae6024a4f456ebe4c95010bf4a49190bb15b7fa6fcd2be8749ae9622e7f72576
- Size of remote file:
- 54.6 MB
- SHA256:
- dda02235deca4f207fc70e37c4c6db7802a7a688e20ff493a040c04d9988d504
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