Instructions to use Jeevesh8/multiberts_seed_0_ft_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_0_ft_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_0_ft_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_0_ft_2") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_0_ft_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b08fb8073b10f887d55cce0dcac6aeeee3ef67a3b930cabdd305973e27f135cb
- Size of remote file:
- 438 MB
- SHA256:
- 56604e3a6e0c09563ce21c056e0eb9a06219c01bc01e9e08c2a81635ddf91723
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