Instructions to use Jeevesh8/multiberts_seed_19_ft_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_19_ft_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_19_ft_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_19_ft_4") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_19_ft_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a18df630df3d437f9c697754b1a58a88cef70500bb84e731d9a87b51a5206632
- Size of remote file:
- 438 MB
- SHA256:
- aa1c6080edf6b8fc49e723882cfde144c09a69a784f191cafa79cce2ea45aa1a
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