Instructions to use Jeevesh8/bs__qqp_ft_only_data_shuff_11 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_11 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_11")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_11") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_11") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9428451ac1efd81ff0c7be96d9bfbb91b891bdcb287d461455a3ba6c84d11acb
- Size of remote file:
- 115 MB
- SHA256:
- dc14b2bd10c217c65c5fbaf75364961df98736ae6938ff57194a5380d04504a6
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