Instructions to use Jeevesh8/bt__qqp_ft_only_data_shuff_17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bt__qqp_ft_only_data_shuff_17 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bt__qqp_ft_only_data_shuff_17")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_17") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_17", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8888cee27b4f6d2bb3824bb61a14a1f009ade38a1d8c4d3a4e4bb3282e73ea4b
- Size of remote file:
- 17.5 MB
- SHA256:
- 6d2b6b726d50b12270e2322defb985adcb01d195f6d0fbef5f988f4a65b48c9b
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