Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use nikuznetsov/roberta-base-finetuned-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikuznetsov/roberta-base-finetuned-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nikuznetsov/roberta-base-finetuned-cola", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nikuznetsov/roberta-base-finetuned-cola") model = AutoModelForSequenceClassification.from_pretrained("nikuznetsov/roberta-base-finetuned-cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
update model card README.md dd52d7c
Nikita Kuznetsov commited on
End of training 0e9310e
Nikita Kuznetsov commited on
Training in progress, epoch 1 e8f3489
Nikita Kuznetsov commited on
initial commit 3fc777e
Nikita Kuznetsov commited on