Instructions to use Jeevesh8/multiberts_seed_15_ft_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_15_ft_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_15_ft_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_15_ft_1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_15_ft_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0a0754d27611d3297568ef2be887b7478d613ae2262e229fee99591f64e11a8
- Size of remote file:
- 438 MB
- SHA256:
- 4ae9542dc26499a55fc6130cbf27021ab95282081bc4fdadea0c908add054d1f
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