Instructions to use Jeevesh8/bt__qqp_ft_only_data_shuff_5 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_5 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_5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_5") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2c0a00de2f2f3a333f8b30df44737c2fbb689b06d2e39068e8758cf779367a1
- Size of remote file:
- 17.5 MB
- SHA256:
- 0b995e73f6b9fa7bb284077471a568fa626316946efb5467e54287c964fce5b8
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