Instructions to use Jeevesh8/bt__qqp_ft_only_data_shuff_0 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_0 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_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b8f0068855cd47bac9544d6260c39c45b79a6326f9f924fbadf2aa597dc5949
- Size of remote file:
- 17.5 MB
- SHA256:
- 84fb71e22d6e22c7422221d5b5d4b05dffc25461068e645e56af46dde497f484
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