Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use JeremiahZ/roberta-base-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JeremiahZ/roberta-base-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JeremiahZ/roberta-base-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JeremiahZ/roberta-base-cola") model = AutoModelForSequenceClassification.from_pretrained("JeremiahZ/roberta-base-cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#2) 961f4b5
Add evaluation results on the cola config and validation split of glue (#1) c65e0a7
update model card README.md f283bc9
Jeremiah Zhou commited on
update model card README.md e888bd3
Jeremiah Zhou commited on