Text Classification
Transformers
PyTorch
TensorBoard
English
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use JeremiahZ/roberta-base-qqp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JeremiahZ/roberta-base-qqp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JeremiahZ/roberta-base-qqp")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JeremiahZ/roberta-base-qqp") model = AutoModelForSequenceClassification.from_pretrained("JeremiahZ/roberta-base-qqp") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
autoevaluator HF Staff
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#2)
749a735