Instructions to use Jeevesh8/init_bert_ft_qqp-44 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/init_bert_ft_qqp-44 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/init_bert_ft_qqp-44")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/init_bert_ft_qqp-44") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/init_bert_ft_qqp-44") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a472d80781d31cccb328beaa75dd5f1ebf6ef6930c0f9daef4cc9fadac106f21
- Size of remote file:
- 438 MB
- SHA256:
- d7e625fe63743b69a11159b4c02c62525e6a91ef7726b4ac892bb2c1682abfd1
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