Instructions to use Jeevesh8/bs__qqp_ft_only_data_shuff_6 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_6 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_6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_6") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7eee6cc4fb95749cd7d2d72611b8e4eabd6bcad97db476d714e23fad9db21910
- Size of remote file:
- 115 MB
- SHA256:
- 31e1e35b3e51a30cc3cb25d6ee92094303599483da0323b35ae1d229417886bf
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