Instructions to use Jeevesh8/bs__qqp_ft_only_data_shuff_12 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_12 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_12")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_12") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_12") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d88f5f465441cde2114cc50087eac2f9fd708e682cc6652d6a65c3dc68cd50c8
- Size of remote file:
- 115 MB
- SHA256:
- e9669846340a45dc085ea15189ea0569508dc3cbfe466d29bbbcc0a9f809c634
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.