Instructions to use Jeevesh8/bt__qqp_ft_only_data_shuff_2 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_2 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_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_2") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 172cfba2f0bc4b7444743bb294455c1959f614267bc2271809f13bdd861e8802
- Size of remote file:
- 17.5 MB
- SHA256:
- 12d71412edb6a870c1e557a2fe5ea9206a9e81521925699f9e0cd862fdb5dfd2
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