Instructions to use Jeevesh8/bert_ft_cola-98 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-98 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-98")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-98") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-98") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2e2f666ff88f24823bc1cad52e81188178ded6b0234a4c0ccf75a8b6f744af0
- Size of remote file:
- 438 MB
- SHA256:
- 8cfb1a1f31bafd944ac2e43e7423b61b980a868fdeb19d57fe1e2d0810e8f59c
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