Instructions to use Jeevesh8/multiberts_seed_9_ft_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_9_ft_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_9_ft_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_9_ft_4") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_9_ft_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3164d1ceb169fc1575a2ec38bc3aed820d1428e57d9a2be4799e938f271f971b
- Size of remote file:
- 438 MB
- SHA256:
- f9dd63b2ac7ac19c66fc984f672cad22732836c5b59096fd628e655f8e28c6b6
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