Instructions to use Jeevesh8/bert_ft_cola-15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-15 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-15")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-15") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-15") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e707e531c9277278ee63baf3920e867af8676495de1e7001ecbd491c01febfc
- Size of remote file:
- 438 MB
- SHA256:
- b16221deb2a55290f2ee738e6d2bc7e2a91ba0d976ef80d85a340557cc1ebd1a
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