Instructions to use Jeevesh8/bs__qqp_ft_only_data_shuff_7 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_7 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_7")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_7") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bce3e1c46b2731212dac1aa7414eb807f63a7cffbc7cdd0aa9b0d8c22d9966fd
- Size of remote file:
- 115 MB
- SHA256:
- f5d85151ff2a521ae8d65cdaa79f235f7c27906314cacb1c8d0b27bbab9232ca
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