Instructions to use Jeevesh8/multiberts_seed_18_ft_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_18_ft_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_18_ft_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_18_ft_2") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_18_ft_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a14dc218961d2ed82c5717062de4b829fc1cbf3d98f36a8735dc9c7d4ffb6220
- Size of remote file:
- 438 MB
- SHA256:
- 979857b791b2ca65c0d63fb95e71a11aff4ea6b5885e7d76ced23f24d79a841c
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