Text Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use SiddharthaM/xlm-roberta-hate-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SiddharthaM/xlm-roberta-hate-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SiddharthaM/xlm-roberta-hate-final")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SiddharthaM/xlm-roberta-hate-final") model = AutoModelForSequenceClassification.from_pretrained("SiddharthaM/xlm-roberta-hate-final") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened 8 months ago
by
SFconvertbot
Librarian Bot: Add base_model information to model
#1 opened over 2 years ago
by
librarian-bot