Instructions to use Jeevesh8/multiberts_seed_3_ft_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_3_ft_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_3_ft_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_3_ft_0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_3_ft_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14e16064c8ae332cb12c960042ff84c65629eb7a1884c224fe451d12a3aaa900
- Size of remote file:
- 438 MB
- SHA256:
- 537fcbc009aa728faadcdeef64cb429e51e667b58eb3048b1f6fcd527fd48c49
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