Instructions to use Jeevesh8/init_bert_ft_qqp-54 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/init_bert_ft_qqp-54 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/init_bert_ft_qqp-54")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/init_bert_ft_qqp-54") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/init_bert_ft_qqp-54") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac50188127db44ed0c30149492be660ec9a07f93fc3f2f41ad890fdd803313ca
- Size of remote file:
- 438 MB
- SHA256:
- 4c85804d9d7c329760d3920ad2162bf7be517aa5594cf457b9dc527a75929adb
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