Instructions to use Jeevesh8/bert_ft_cola-94 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-94 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-94")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-94") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-94") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b69c5066685055b3bbb83554de5ef8b5932f87305c077a23e3952f6b262b4cba
- Size of remote file:
- 438 MB
- SHA256:
- 71f39bc0a0c19963a10fde507da7be526c36efc30f9d63262feff0b5180554c3
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