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") - Notebooks
- Google Colab
- Kaggle
Commit History
update model card README.md f283bc9
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End of training 2c21b0c
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update model card README.md e888bd3
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Model save 4c1426e
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Training in progress, epoch 4 ebfa8e0
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Training in progress, epoch 1 713398d
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initial commit df44d0c
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