Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use sgugger/bert-fine-tuned-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgugger/bert-fine-tuned-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sgugger/bert-fine-tuned-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sgugger/bert-fine-tuned-cola") model = AutoModelForSequenceClassification.from_pretrained("sgugger/bert-fine-tuned-cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2041c849e58c6b20fc06b252f2d5c8c2c7779856b55cae8bd52d9072577fb9b9
- Size of remote file:
- 433 MB
- SHA256:
- c3b0b75ddd2f804ebc2dcc3e2a1af5ddcc10e3c42acfe83a9e8b4ab8e015c5d7
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