Instructions to use Jeevesh8/bert_ft_cola-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-3") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81562c56afcce0452db18c5c363f84596e51ae94f3b2deb18978439dc2a4385d
- Size of remote file:
- 438 MB
- SHA256:
- c11d1c8aa9ada4c241d632c8c03e04734743e4c26563697aa83757f8e26210f1
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