Instructions to use Jeevesh8/bs__qqp_ft_only_data_shuff_2 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_2 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_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_2") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 144cecc42b3fdd7b7df376f785631afe3486d0c0e7fe4a416d4966cb9fc0f7ff
- Size of remote file:
- 115 MB
- SHA256:
- 72ba072837edb346924e30428609f232cc19968402175f2b1a0d787e5a6220b2
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