Instructions to use Jeevesh8/bs__qqp_ft_only_data_shuff_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bs__qqp_ft_only_data_shuff_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bs__qqp_ft_only_data_shuff_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_4") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ac107e318a9c37b91518787c6a210415270a4e611a5089f79c2f3adc1498973
- Size of remote file:
- 115 MB
- SHA256:
- fde5a8bb6360dbdcedf6734e654d41e53b99be234ee362dac95758bfbac01243
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