Instructions to use Jeevesh8/bert_ft_cola-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-2") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8cba18109f243d418c2a4af005f0dd38bf3322768c2b771aa1873f9a0eca676d
- Size of remote file:
- 438 MB
- SHA256:
- 0dd60c3f5930b5718567fb927dbd7ff88a53eb2fabe8b84fc503e721c51fe4dd
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