Instructions to use Jeevesh8/init_bert_ft_qqp-94 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/init_bert_ft_qqp-94 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/init_bert_ft_qqp-94")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/init_bert_ft_qqp-94") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/init_bert_ft_qqp-94") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f77748b41405be1a4f1ae9c3a337f9e915b1082517d4feff0675944f5aaa263c
- Size of remote file:
- 438 MB
- SHA256:
- 3f6f25f216e59865029530f307a663ad7607762b4c161443e6970c84f85fec13
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