Instructions to use Jeevesh8/bs__qqp_ft_only_data_shuff_3 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_3 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_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_3") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d9598dbb3872a4c69fd287d480b9b9c28df4feba34c67a928998c58559210bf
- Size of remote file:
- 115 MB
- SHA256:
- 236be6bfbc61b02ffd62c5653d969dd0d9e07a44d463fc99d95cd2be8fc21d70
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