Instructions to use Jeevesh8/multiberts_seed_22_ft_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_22_ft_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_22_ft_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_22_ft_4") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_22_ft_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86c541387ce9e6a5bdc331c970a239a79fae782847db0cc7b5a569b3f782aef8
- Size of remote file:
- 438 MB
- SHA256:
- 7f8f6a2f1f0584a5df712b3b2670ca14e802e27a354c1710b8093ca4a6c6e01c
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