Instructions to use Jeevesh8/multiberts_seed_10_ft_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_10_ft_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_10_ft_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_10_ft_0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_10_ft_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c25c2fcb6fd52f0f2af4772076145d95f381287c4cd39157a8919a5e498a6fa
- Size of remote file:
- 438 MB
- SHA256:
- c58d4d3fee0f0149358a63a5faedf366aa9a104f39ec99952b542faa76db0eda
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