Instructions to use Jeevesh8/multiberts_seed_12_ft_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_12_ft_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_12_ft_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_12_ft_1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_12_ft_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c024b28b3a5357da98c6a767c3f05423db7b0c1948ae825b347877a3c1a3ce5c
- Size of remote file:
- 438 MB
- SHA256:
- bf1e5552d11caea73182cb6f065fa753c96ad7bd8525dfff013ccad273dd7ebd
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