Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use JeremiahZ/roberta-base-rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JeremiahZ/roberta-base-rte with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JeremiahZ/roberta-base-rte")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JeremiahZ/roberta-base-rte") model = AutoModelForSequenceClassification.from_pretrained("JeremiahZ/roberta-base-rte") - Notebooks
- Google Colab
- Kaggle
Commit History
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#3) 0190d1b
Add evaluation results on the rte config of glue (#1) ef881eb
update model card README.md 9a2ec0a
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End of training 4625b60
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update model card README.md 81aef98
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Model save 1302929
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Training in progress, epoch 9 6f19a97
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Training in progress, epoch 1 aa2f9d8
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update model card README.md 9db0d4a
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End of training 3a00009
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update model card README.md d22a896
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Model save 852fbaf
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Training in progress, epoch 1 9a6333e
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initial commit d1afa8e
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