Instructions to use Jeevesh8/bert_ft_cola-7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-7")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-7") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67008ebbc62b6bd47276036af0262ea7bb4a6c1cb13d5f9f7285d8c3fe7e0667
- Size of remote file:
- 438 MB
- SHA256:
- da4570dea508307a9bed17153d1889a05f60b435644a023251fcf3eca6fd1e5e
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