Instructions to use Jeevesh8/multiberts_seed_20_ft_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_20_ft_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_20_ft_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_20_ft_3") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_20_ft_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eee6cef34a6becc84421470f62d0933131ee6e58aa4659005769ac99d70726db
- Size of remote file:
- 438 MB
- SHA256:
- 8055e8461fb31ff67f2961cd96a1bbf72f9114ac60ea14bd84110ee067dc099e
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