Text Classification
Transformers
PyTorch
TensorFlow
Safetensors
Hindi
roberta
text-embeddings-inference
Instructions to use l3cube-pune/hate-multi-roberta-hasoc-hindi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use l3cube-pune/hate-multi-roberta-hasoc-hindi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="l3cube-pune/hate-multi-roberta-hasoc-hindi")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/hate-multi-roberta-hasoc-hindi") model = AutoModelForSequenceClassification.from_pretrained("l3cube-pune/hate-multi-roberta-hasoc-hindi") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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