Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use fe2plus/bert-fine-tuned-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fe2plus/bert-fine-tuned-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fe2plus/bert-fine-tuned-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fe2plus/bert-fine-tuned-cola") model = AutoModelForSequenceClassification.from_pretrained("fe2plus/bert-fine-tuned-cola") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
pytorch_model.bin
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runs/Mar13_13-28-35_a789c3dd7660/events.out.tfevents.1678714462.a789c3dd7660.419.0
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