Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Zaid/bert-fine-tuned-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zaid/bert-fine-tuned-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Zaid/bert-fine-tuned-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Zaid/bert-fine-tuned-cola") model = AutoModelForSequenceClassification.from_pretrained("Zaid/bert-fine-tuned-cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9a78fbe72fb96a6ace75cc24d285efdc2aab90daf62fa29093e63acc4f65ca5
- Size of remote file:
- 3.39 kB
- SHA256:
- 6932894aab7ce110c33864686fe448ecc28dd258491cb0eb5af3d8427d5c336e
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