Instructions to use Jeevesh8/bt__qqp_ft_only_data_shuff_18 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_18 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_18")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_18") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bt__qqp_ft_only_data_shuff_18", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a8953abf89a0081bfb2df0ace0ffaa809e7e6a66ba1522a9d3f44cdbd14834f
- Size of remote file:
- 17.5 MB
- SHA256:
- 29e0abfd9e17e93d9cee16ce5dd38bb33af07b6af5e7ece7b690167d2e4e0a90
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