Instructions to use Jeevesh8/bt__qqp_ft_only_data_shuff_13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bt__qqp_ft_only_data_shuff_13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bt__qqp_ft_only_data_shuff_13")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_13") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_13") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2bebf83cda31c164a7054784be571db2c90d02e5127f54062a4c308c9e3261f
- Size of remote file:
- 17.5 MB
- SHA256:
- 89c66a4c54f4abf32ed4366da10856b27f044af8148b85f9017e3f60377e3028
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