Instructions to use Jeevesh8/multiberts_seed_23_ft_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_23_ft_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_23_ft_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_23_ft_3") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_23_ft_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebbce0094f0cc58ba066c78595b20eb37a5efce8591d09d840818ed7253fefad
- Size of remote file:
- 438 MB
- SHA256:
- 5333b1e535aab68d04809bc386a11253dc406a917d627fdf389d63ff28ba7dea
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