Instructions to use Jeevesh8/multiberts_seed_15_ft_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_15_ft_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_15_ft_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_15_ft_3") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_15_ft_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5ce9cda01058ab5271d774c80c5650227e6a535cdb322fc2cac41fcb7dd3a82
- Size of remote file:
- 438 MB
- SHA256:
- 29f43f11e45c5283ab3787db4ad2a5bb82b0d942e6393bd24c00e50323061055
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