Instructions to use darwinsfavorite/website_prediction_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use darwinsfavorite/website_prediction_model with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("Qwen/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "darwinsfavorite/website_prediction_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dda9026b114d821ce03c68e951bc8a409acec21006c9239c2686a48d0406eede
- Size of remote file:
- 5.37 kB
- SHA256:
- 983b7ffcee193b72f95a6c6877bf7f82c7b0aeab507fc385e345ac7c15df97cf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.