Instructions to use Jeevesh8/bert_ft_cola-44 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-44 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-44")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-44") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-44") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73643c87a0a9517f40693022fb7f9ca36382b03ad43564cd720b2f78ed54cf71
- Size of remote file:
- 438 MB
- SHA256:
- 2b57c4efbeff8c691a15ba4e70da6431b501e1ff486d7b0f4158d820ed368cf7
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