Instructions to use Jeevesh8/bs__qqp_ft_only_data_shuff_14 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_14 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_14")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_14") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_14") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9540360abb63407d4e0fc8b08dffa4aff48fb596f06771ca12c8ecba59bd7c30
- Size of remote file:
- 115 MB
- SHA256:
- e89f4465b83c4c6f49ae6af8a607f1d39664802a5f885baccfddf77a3defefc1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.