Text Classification
Transformers
PyTorch
multilingual
xlm-roberta
multilabel-classification
twitter
violence-prediction
text-embeddings-inference
Instructions to use m2im/XLM-T_finetuned_violence_twitter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m2im/XLM-T_finetuned_violence_twitter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="m2im/XLM-T_finetuned_violence_twitter")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("m2im/XLM-T_finetuned_violence_twitter") model = AutoModelForSequenceClassification.from_pretrained("m2im/XLM-T_finetuned_violence_twitter") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened 11 months ago
by
SFconvertbot