Instructions to use Jeevesh8/multiberts_seed_0_ft_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_0_ft_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_0_ft_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_0_ft_4") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_0_ft_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec83a3648ada9614225aface191462416baae2cd3c7a6feea698fa22d4d4e16f
- Size of remote file:
- 438 MB
- SHA256:
- d0e9bcd67a4d2c7f2aae9157ba7fe6921e47e07e427cf9a212904494c265cc60
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