Instructions to use Jeevesh8/bert_ft_cola-8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-8")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-8") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc70da629dd01dae157f0bab6236c6f5d21c9df54a8ba898a044009506e30370
- Size of remote file:
- 438 MB
- SHA256:
- 8429814de23502210a142c3f16fb84e16a95b8577951529af3c1ccd5adc8bf0d
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