Instructions to use Jeevesh8/bs__qqp_ft_only_data_shuff_20 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_20 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_20")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_20") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_20") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b70590468dd24da00977760c5d14dd4e3d70aa8497580b234aa5de0d43633fe
- Size of remote file:
- 115 MB
- SHA256:
- ec3ca92c61387deb2c18a54a4ba33d898f0e479194b743c1757fa1d556d987de
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