Instructions to use Jeevesh8/multiberts_seed_5_ft_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_5_ft_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_5_ft_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_5_ft_4") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_5_ft_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df02044b557c0ff16e85c17078ef4afeff12e57339f6e4030c9af37e21588dd7
- Size of remote file:
- 438 MB
- SHA256:
- 6e22ad51b70417f22340dfb0bb0ee8c1edcc8c30dbb8f84d5508620069675706
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