Instructions to use Jeevesh8/bs__qqp_ft_only_data_shuff_10 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_10 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_10")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_10") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d23479b1bf80d5c3e958e081c98c047687f72985bd06c942eb4e4b27ab7344e
- Size of remote file:
- 115 MB
- SHA256:
- 766e20b198c09247e3779a9f55349cd26bb96724e7270e2297405598281e3583
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