Instructions to use Jeevesh8/multiberts_seed_8_ft_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_8_ft_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_8_ft_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_8_ft_2") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_8_ft_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e59382dba4142e000e176bddd4fc4e2192e9ceece0feec38cd2a343b440f8d74
- Size of remote file:
- 438 MB
- SHA256:
- b4bd19d0561d911008d24109b07c5b02bbc51b2d689389229cc962911270f963
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