Instructions to use Jeevesh8/bt__qqp_ft_only_data_shuff_14 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_14 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_14")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_14") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_14") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b2b9cd33fe5f312c2599d63faa6209bfd6bc5aab165f782468082ee44dc9ad35
- Size of remote file:
- 17.5 MB
- SHA256:
- e31f1549537ce26c8d4ad6c886c6dfccd1e24eaa6711edf1227e65d1e3c55fdd
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