Instructions to use Jeevesh8/multiberts_seed_12_ft_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_12_ft_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_12_ft_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_12_ft_2") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_12_ft_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b0fb519b6f121d47a322b21b155c473023d55b7ca1507113d46a3f57181f3df
- Size of remote file:
- 438 MB
- SHA256:
- 6338d15de1320813d35d504bf9430cff2b017968b93c570315c064bcbe990168
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