Instructions to use Jeevesh8/bert_ft_cola-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-4") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33d1cbe84a1431f881e13fc104baa27a5843d0ffbcc1760da86039739a712486
- Size of remote file:
- 438 MB
- SHA256:
- f32db901b0e92f0b2a346e2b561e616e22fb1d513133596cc1018873b88ef279
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