Instructions to use Jeevesh8/multiberts_seed_6_ft_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_6_ft_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_6_ft_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_6_ft_2") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_6_ft_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 664d593532dc41d951e08fcec305aa4fa13282bb73faf80cb4322b15d64ed4c7
- Size of remote file:
- 438 MB
- SHA256:
- c1e94c578a0ac8e4ebbfe55d95e2559be293a51d50b6b9cfd937d8ea046afeb8
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