Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use JeremiahZ/bert-base-uncased-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JeremiahZ/bert-base-uncased-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JeremiahZ/bert-base-uncased-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JeremiahZ/bert-base-uncased-cola") model = AutoModelForSequenceClassification.from_pretrained("JeremiahZ/bert-base-uncased-cola") - Notebooks
- Google Colab
- Kaggle
Commit History
Add evaluation results on the cola config and validation split of glue (#1) aec7163
update model card README.md 5791004
Jeremiah Zhou commited on
End of training 52163ed
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update model card README.md 30c5adb
Jeremiah Zhou commited on
Model save 5ae928e
Jeremiah Zhou commited on
Training in progress, epoch 3 c8ffdf0
Jeremiah Zhou commited on
Training in progress, epoch 1 e03482c
Jeremiah Zhou commited on
initial commit 0e0e0fe
Jeremiah Zhou commited on