Instructions to use Jeevesh8/multiberts_seed_2_ft_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_2_ft_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_2_ft_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_2_ft_0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_2_ft_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbd2d21328b3fcfbaf2a08431d42a076f79206d9e63423862aa0261cf8ad696b
- Size of remote file:
- 438 MB
- SHA256:
- e12734a7c3ea4bf5b5db1bb66265bd808f073eba42aef5bf62ba9f9636ee2f9f
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