Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use dunlp/GWW-finetuned-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dunlp/GWW-finetuned-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dunlp/GWW-finetuned-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dunlp/GWW-finetuned-cola") model = AutoModelForSequenceClassification.from_pretrained("dunlp/GWW-finetuned-cola") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2dc2d926ac797aa4533372427bfe6fa876126c40301c8b9d042c502d1d1223aa
- Size of remote file:
- 3.31 kB
- SHA256:
- 8a8ecd38c9ec9df1cde6d08e81cb251b2fb2143ab6f7b686590c61c4e3e8c1c1
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