Instructions to use Jeevesh8/bert_ft_cola-18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-18 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-18")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-18") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-18") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa62ac6ae0547cf93ee069817108843e55b3eabdfa983d6a3396f7bc2205beca
- Size of remote file:
- 438 MB
- SHA256:
- 2a8ae528073be661bf4aa2c17792b72661bbc58d5f7ace7a75affe71e9898886
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