Instructions to use Jeevesh8/bt__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/bt__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/bt__qqp_ft_only_data_shuff_20")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_20") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_20") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19ddfc5c82fbfb80433bb8d5aac8a7e6565e8ccc6f25b27234f1350149e116bc
- Size of remote file:
- 17.5 MB
- SHA256:
- 78ce13959a713ae3d9381f38ba9eafbf429ca124432af19d19222a2ba76df59e
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