Instructions to use Jeevesh8/bt__qqp_ft_only_data_shuff_3 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_3 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_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_3") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae536dfa6f0d858230dab69d5cdd9663ee1fec99069c0a2a69a8ba19c86ae239
- Size of remote file:
- 17.5 MB
- SHA256:
- 880f3b440c114ca25b5a9b336a305aeb53fe00c1d113cbfeaf98427a892f6923
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