Instructions to use Jeevesh8/bs__qqp_ft_only_data_shuff_0 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_0 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_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e4c89d9cfc4b424982e850fb97c8ccce9c9bb010e838d23d46d4fd4648b4fed
- Size of remote file:
- 115 MB
- SHA256:
- 89f6b47f8480e8c8e0c8587963bab99e88139de6929b31a2357747ca1cb1ff2a
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