Instructions to use Jeevesh8/multiberts_seed_13_ft_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_13_ft_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_13_ft_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_13_ft_3") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_13_ft_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99eef551db0e5eb2735e4bf2ea5abbec06068bf9419cd6ec1c675d89f2ae227b
- Size of remote file:
- 438 MB
- SHA256:
- a4594e80b3156775c031bda266d5ca11e55d2c232f153bbc3dbc749ecdcc5c51
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