Instructions to use Jeevesh8/multiberts_seed_9_ft_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_9_ft_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_9_ft_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_9_ft_1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_9_ft_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0512892e21f4e4f0d28fbe57a768b9ba842c7abac45eec34f170bf358361be7a
- Size of remote file:
- 438 MB
- SHA256:
- 0d756684685fd7f0ccf5ad34535496895a1da5d4cdc9a1c70e30307bad6dad9e
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