Instructions to use Jeevesh8/multiberts_seed_14_ft_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_14_ft_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_14_ft_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_14_ft_2") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_14_ft_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b14656f1b07b3dbeadcdb1eca7511ddebf412b8a20e7876f30bab117df259ab7
- Size of remote file:
- 438 MB
- SHA256:
- 2ba3472cbe3dfcd2b823e61c6977504415b7648387c730bffe3be98dabaa49d2
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