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")# pip install -U transformers accelerate # 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
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Adding `safetensors` variant of this model
3df91db
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Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#2)
- Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (db0a072b85464be89246a0c5a15d3068b764e0a4) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>961f4b5
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Add evaluation results on the cola config and validation split of glue (#1)
- Add evaluation results on the cola config and validation split of glue (c051227fd028d3ebf034e2b81528361606d1143b) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>c65e0a7
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update model card README.md
Jeremiah Zhouf283bc9 -
End of training
Jeremiah Zhou2c21b0c -
update model card README.md
Jeremiah Zhoue888bd3 -
Model save
Jeremiah Zhou4c1426e -
Training in progress, epoch 4
Jeremiah Zhouebfa8e0 -
Training in progress, epoch 1
Jeremiah Zhou713398d -
initial commit
Jeremiah Zhoudf44d0c