Text Classification
Transformers
TensorBoard
Safetensors
English
xlm-roberta
Generated from Trainer
clickbait-detection
binary-classification
Eval Results (legacy)
text-embeddings-inference
Instructions to use kesavanguru/XLM_roberta_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kesavanguru/XLM_roberta_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kesavanguru/XLM_roberta_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kesavanguru/XLM_roberta_finetuned") model = AutoModelForSequenceClassification.from_pretrained("kesavanguru/XLM_roberta_finetuned") - Notebooks
- Google Colab
- Kaggle