Instructions to use Jeevesh8/multiberts_seed_5_ft_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_5_ft_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_5_ft_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_5_ft_1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_5_ft_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ccd2ee23ea1cb6e7ed004d8af07bfb6b8322aa9950d992788414db33a91ff06
- Size of remote file:
- 438 MB
- SHA256:
- c90a1ec04a1e22eeeed0b22b2ef57c3e5816a09dae7bf47d8bff51509cc35b7b
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