Instructions to use Jeevesh8/bs__qqp_ft_only_data_shuff_18 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_18 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_18")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_18") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_18") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0965f8e4c246bd6251968fcc0503b3f32cbcc9ca08b10372a60cf6d1273a0cdc
- Size of remote file:
- 115 MB
- SHA256:
- 33d28db398173a11970f452384d26c856ddd989e795953cbd45eac05dd1db092
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