Instructions to use Jeevesh8/goog_bert_ft_cola-21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/goog_bert_ft_cola-21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/goog_bert_ft_cola-21")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/goog_bert_ft_cola-21") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/goog_bert_ft_cola-21") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22ce77a37fd474c5d776bc9711338937e574b64b6cf77cfe17f562ea75794e1d
- Size of remote file:
- 438 MB
- SHA256:
- cc6c375521ca11cc9a2fbdfa3723eebc7b183470122ac767fc066d232b81986e
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