Instructions to use Jeevesh8/multiberts_seed_8_ft_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_8_ft_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_8_ft_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_8_ft_0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_8_ft_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a3c1d6e33201e890f9e8ee555e3cd14e111574d49b397ce02f0cae1a77aff60
- Size of remote file:
- 438 MB
- SHA256:
- 68d6779ec1a6efdea9842d56e5a4ea2bf832832e4ebc2d12c248478ad5992a33
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