Instructions to use Jeevesh8/bs__qqp_ft_only_data_shuff_15 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_15 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_15")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_15") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_15") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99874fa104899affd45dd3c0ef69ef74f468befc60aca9615e582756c44c9867
- Size of remote file:
- 115 MB
- SHA256:
- 5552272e986f9e695897745c36f380ea415977ebd71d64800900c258d7ef311b
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