Instructions to use Jeevesh8/bert_ft_cola-46 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-46 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-46")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-46") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-46") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1fe83c6acfee41ad23aad09167f0898019769c80c37c8625bf9842f8fe62912
- Size of remote file:
- 438 MB
- SHA256:
- 8a24b108b3bf04d1a73fdc73d5ca306b10063edd61a11dcad8b0afb612c809cf
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