Instructions to use Jeevesh8/bt__qqp_ft_only_data_shuff_8 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_8 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_8")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_8") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ccd50cb5ee8572c0d6cacf765a0049c70acb85e203129bab24beb4f67922670
- Size of remote file:
- 17.5 MB
- SHA256:
- cfc4789c13c2925c0fb93d54d3cadcd54480006da708e84ef1b6bec36104c2f8
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