Instructions to use Jeevesh8/bs__qqp_ft_only_data_shuff_1 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_1 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_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2c9bba5aba81b5f2afe5ada433d9e1d2ff2f8421e4adf1d2e6dbb8177f2eae3
- Size of remote file:
- 115 MB
- SHA256:
- 4fb81e6e10bc295193458a50ef35ba58b9bc1459fc1346c041be0a71e2a760df
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