Instructions to use Jeevesh8/bt__qqp_ft_only_data_shuff_10 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_10 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_10")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_10") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0b8caa40ab502fa7dab9c4f6dd2d30df2a2dd6610ba0e26685d158dc9fe21b7
- Size of remote file:
- 17.5 MB
- SHA256:
- 54047ce4da32aa6712d5a1d6daf5717b28716ef610762b50bd5b53e8e39eb596
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