Instructions to use Jeevesh8/multiberts_seed_20_ft_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_20_ft_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_20_ft_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_20_ft_0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_20_ft_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a615407912bf3d493cd86dca5875924799065d0214fbe6798e52048a7122700
- Size of remote file:
- 438 MB
- SHA256:
- f5421235d19ba5b7b6cb28d560b7ca0826659a8902754a86c65275042cfe85b0
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