Instructions to use Jeevesh8/bert_ft_cola-91 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-91 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-91")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-91") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-91") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ae1d3c4812588dba47078e82b5e765b17a3669f71980601515185f673513887
- Size of remote file:
- 438 MB
- SHA256:
- 71a034c257e461d1412946bdcc4e0fa4e655f006f6627ab80aebf7acb22193af
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