Instructions to use Jeevesh8/bt__qqp_ft_only_data_shuff_6 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_6 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_6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_6") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45c0f7773a259834f2c1bbb6d8fdcab4956648e3421240733055434231654c03
- Size of remote file:
- 17.5 MB
- SHA256:
- b3e6e01318aa89a092980846b368ac1f17caf47c466c787d381603a2ddae42a8
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