Instructions to use Jeevesh8/bert_ft_cola-24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-24 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-24")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-24") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-24") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87a1e25a669fd2f0b9df59bd8c39df7890dff48a760ab756214463165bd9f6cc
- Size of remote file:
- 438 MB
- SHA256:
- ea344df01c419b108e890cde4e7eb61d9e277746ddd7def322958a047141a786
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