Instructions to use Jeevesh8/multiberts_seed_19_ft_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_19_ft_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_19_ft_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_19_ft_3") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_19_ft_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 083a95acb0e03f1dcc6fba99c5cbf80e2484513f0fb43a7a0ca799b29bfeebfb
- Size of remote file:
- 438 MB
- SHA256:
- 0fa7e349d345b1ddd0c53bd81a1e7ba7df0fa306b93834eb8a4dd504980d12c4
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