Instructions to use soroushheidary/hateful_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use soroushheidary/hateful_classification with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("Qwen/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "soroushheidary/hateful_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 624f4334cec8dbb5440a5c1076143dbeedc9c27e7f54645d246c5ef4adafba1f
- Size of remote file:
- 5.11 kB
- SHA256:
- 238676258907689d967ae08c3a6b14a37f07442295cf1e52fb944f18ddc94cd3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.