Instructions to use Jeevesh8/bt__qqp_ft_only_data_shuff_15 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_15 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_15")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_15") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_15", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e51776051ecd6e553846a987e655e4393925c80d62286347231e8b1dcd86409
- Size of remote file:
- 17.5 MB
- SHA256:
- a9658a819b6087fba66b8efdad8f55f54392000d5260447d80672f9798783809
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