Instructions to use Jeevesh8/multiberts_seed_13_ft_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_13_ft_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_13_ft_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_13_ft_0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_13_ft_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ff92cb85cc29ed741e4dcd23929fa67056c4b80ef06ba83c3cddb3291c1d40d
- Size of remote file:
- 438 MB
- SHA256:
- e4b7020d8d2de2bf87210a2f9801007930ae398cf14c36365bfb23d24f6b2471
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