Instructions to use Jeevesh8/multiberts_seed_12_ft_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_12_ft_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_12_ft_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_12_ft_3") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_12_ft_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5c677a59034d300ceccf5e3df9f36fd744664f85f8ce9f21de8fc791d613989
- Size of remote file:
- 438 MB
- SHA256:
- b32fe4285dd457a4f337ca158ac1cf9be6bc05ae8b080233307067068a3b0c25
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