Instructions to use Jeevesh8/bs__qqp_ft_only_data_shuff_9 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_9 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_9")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_9") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54e7036dbb1f611aceccf13dfffc85209bfc83086b8f8e0fdaba3db0b77b1e31
- Size of remote file:
- 115 MB
- SHA256:
- d41023b111bd8fa75411ab750a219dbc39d77c006063b734ab710d761000add5
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