Instructions to use Jeevesh8/bs__qqp_ft_only_data_shuff_5 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_5 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_5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_5") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a5a280ca1c3dc694abd215aaf07eca33fa1c008b7c3bc60e010aa5b0d17ce24
- Size of remote file:
- 115 MB
- SHA256:
- 209f7b0da9547c3bea29cea4c807640b95cd0a461e2343532a4427c19789ff1f
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