Instructions to use Jeevesh8/bt__qqp_ft_only_data_shuff_16 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_16 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_16")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_16") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26e6ca0f55e90d014b11e3a61b918256125001e2f9344bc84720ed366d3feb4b
- Size of remote file:
- 17.5 MB
- SHA256:
- be933a76b39dc82269c0834ddb0c665ab026d4ffabaf0a73ebdce797e5e3bf6c
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