Instructions to use Jeevesh8/bs__qqp_ft_only_data_shuff_19 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_19 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_19")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_19") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bs__qqp_ft_only_data_shuff_19") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3638f05052fd3623f1e2b5e51134bd36a928340d4b5c5a2d538d07ca6945ad1f
- Size of remote file:
- 115 MB
- SHA256:
- 98ffa56346dda62c6e4992ec24aa7a6a50dda6a9ffb9fd254c30a5b4dc24992f
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