Instructions to use Jeevesh8/bert_ft_cola-90 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-90 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-90")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-90") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-90") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb568c61f17a5067f4cd3274df2c92ce437c041b180fa6465cd1d25f4bab5255
- Size of remote file:
- 438 MB
- SHA256:
- f40611ae93875956b9c662fecb24cdd961515884a566740930620f59bf70cb27
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