Instructions to use Jeevesh8/bert_ft_cola-40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-40 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-40")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-40") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-40") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8fb65dcea95818cbe02bc3b86c7538ad7034ee13b270edd980358f622d61c1c4
- Size of remote file:
- 438 MB
- SHA256:
- 6c75df64f179db543c7e3425095f0768f808aff70236eb4998902725ea6867a5
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