Instructions to use Jeevesh8/bs__qqp_ft_only_data_shuff_13 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_13 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_13")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_13") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_13") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98a96d35920d9cd61edd19317464c07d251d6829e72589eea8d904a49e1180ea
- Size of remote file:
- 115 MB
- SHA256:
- 153b0ed7274fa0a3468e78bfe8cbd04a67f89b39b5309ac414b5dc7442a65c8e
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