Instructions to use Jeevesh8/multiberts_seed_4_ft_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_4_ft_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_4_ft_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_4_ft_3") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_4_ft_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d0b685e09a5172a767e17a9e6a86e9e28e2c86855e65dfb52a2d7e0ae9b86de
- Size of remote file:
- 438 MB
- SHA256:
- d505da0d48e5b728f0e0e4896974c97df267c24e39c2874d84d4ff86f0ef01a4
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