Instructions to use Jeevesh8/multiberts_seed_23_ft_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_23_ft_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_23_ft_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_23_ft_4") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_23_ft_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f0067edd3c37ca9c914eda147b2cac72a00f6fc8c315eb2dd03fb5d37d9fc8b
- Size of remote file:
- 438 MB
- SHA256:
- 56e32d24381a697caeec10bd0adc3ecd326df687fe61c696e64d4ad64948ee14
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