Instructions to use Jeevesh8/bert_ft_cola-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c1bb26af6b6c8dabd6a156cfd118c4a55a4c2965aca9ad412e261c627b4b266
- Size of remote file:
- 438 MB
- SHA256:
- 8238b367c655f0cba958ed3f5a9474e2ed428324da6d2c0ed399022dd376afe6
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