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
Download training_args.bin from phdatdt/binary_classification: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/phdatdt/binary_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://phdatdt/binary_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/phdatdt/binary_classification/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 689cd4accc7a15455f7da36c6525cc72f0d8d68448ee05a090967801dc0732af
- Size of remote file:
- 4.92 kB
- SHA256:
- 44a039fd6fd7356e85cf24878aa696c28b3531b33af829145ff1c529d8c19971
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