Instructions to use Jayveersinh-Raj/Indo-Aryan-abuse-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jayveersinh-Raj/Indo-Aryan-abuse-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jayveersinh-Raj/Indo-Aryan-abuse-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jayveersinh-Raj/Indo-Aryan-abuse-detection") model = AutoModelForSequenceClassification.from_pretrained("Jayveersinh-Raj/Indo-Aryan-abuse-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 448db92a289968101512b8f170027ce5d9f2f1aa3b836dfef04eba6f70284248
- Size of remote file:
- 1.11 GB
- SHA256:
- 1b0806abf4dfeda72d25dd82b3579de0b2d769d820944d55dd3aee93309c97b5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.