Instructions to use Jeevesh8/bt__qqp_ft_only_data_shuff_1 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_1 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_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 265d6ff0e32f5ec3b449a2f89b1d3e2b57dac9bb0916177a2e36044ee48e9860
- Size of remote file:
- 17.5 MB
- SHA256:
- aad4c4d8261710404650dd148ffe722e4179a7ea452e6efe0747ce2725766104
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