Instructions to use Jeevesh8/multiberts_seed_1_ft_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_1_ft_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_1_ft_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_1_ft_1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_1_ft_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aaf7da7eb04bf5912b81f52280ddbc93347c82922164473b31b56a1059b47afb
- Size of remote file:
- 438 MB
- SHA256:
- 7b6a79a6e54d01a53914bf445dde4af66280c24653dbd84b801ad6cfe45beb38
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