Instructions to use Jeevesh8/multiberts_seed_3_ft_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_3_ft_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_3_ft_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_3_ft_4") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_3_ft_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 429fd635e775f034ed062e798386ce83753d1de297e9a11287e8427a63ebea4d
- Size of remote file:
- 438 MB
- SHA256:
- fa6c16599852dd1aeeb06b7a13aedcd077a20afd3de8b4952cfdf580d55e7e83
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