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:
- c031085849a049d40d8b9136f0aaf2095b4da92bc41cb6a4cf1e897a9f2b0c5a
- Size of remote file:
- 437 MB
- SHA256:
- 81b363b91e0058deea38d3bff2f150b58f55ca2a53a22cb6093640af6fb49164
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