Instructions to use Jeevesh8/multiberts_seed_24_ft_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_24_ft_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_24_ft_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_24_ft_4") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_24_ft_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9ec22471aff862ac3485ffb18c90c908cb0666b46abea67443687e41be60ec7
- Size of remote file:
- 438 MB
- SHA256:
- ed5c0198453f05631c0706ad979d00252047b7272b00dbc7284838ed46419b99
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