Instructions to use Jeevesh8/multiberts_seed_16_ft_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_16_ft_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_16_ft_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_16_ft_3") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_16_ft_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 740cd4c92b13ca2e1caa551473a6a260366b55b3f35ee5b3ff44c6a22e81a616
- Size of remote file:
- 438 MB
- SHA256:
- 2b1736af68625b8c0bc7e3562710d44119867259ec2cf252ce4262e69179fa87
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