Instructions to use Jeevesh8/multiberts_seed_22_ft_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_22_ft_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_22_ft_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_22_ft_0") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_22_ft_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c282567950d797e5eeebc1ef37e57f0bf05d371b4f6707f46d87072cbe21ef0e
- Size of remote file:
- 438 MB
- SHA256:
- 5545b1222ec844b77d6febedc8848d4e83de65fa2fd7e2231e7c64d752f50710
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