Instructions to use Jeevesh8/multiberts_seed_14_ft_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_14_ft_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_14_ft_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_14_ft_3") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_14_ft_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff9d4536fd2e9623109ea38782dad83ce79546d60df32f773b0f7c336f3b385f
- Size of remote file:
- 438 MB
- SHA256:
- 9d5ab797befffcb86ed6d14bbb109fa73f04ab5f130c1538eef5396741853781
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