Text Classification
Transformers
Safetensors
Hindi
xlm-roberta
toxicity
hindi
text-embeddings-inference
Instructions to use Polygl0t/hindi-roberta-toxicity-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Polygl0t/hindi-roberta-toxicity-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Polygl0t/hindi-roberta-toxicity-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Polygl0t/hindi-roberta-toxicity-classifier") model = AutoModelForSequenceClassification.from_pretrained("Polygl0t/hindi-roberta-toxicity-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de9fe9eb3c961d67be5fae05619bc8071dfb39eedc5360c94ac3e31bd514b465
- Size of remote file:
- 1.11 GB
- SHA256:
- b6a33c7005a75ff29674ebf1472b3a462ad674fe9fff914a8cbb767d1791acaf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.