Instructions to use Jeevesh8/multiberts_seed_15_ft_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_15_ft_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_15_ft_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_15_ft_4") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_15_ft_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d5cb4f2c7f9986fcb1f270bb91df0ac134a3c3bf8428bf74e1a6b6adaad5e0b
- Size of remote file:
- 438 MB
- SHA256:
- 0dce6c6f1f604389ae09784cc0c3416f4a4d6a9d98d606055124e4e7ce4ae416
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