Instructions to use Jeevesh8/multiberts_seed_9_ft_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_9_ft_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_9_ft_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_9_ft_3") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_9_ft_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a7623a40a4000d2aadadb3bc5409acbb126cdedd0cbdc8608e586a039653a69
- Size of remote file:
- 438 MB
- SHA256:
- 1342ee9b7320fb3b72573ce4384f248ccd8d22b8005840791bd5cac604c320f8
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