Instructions to use Jeevesh8/multiberts_seed_21_ft_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_21_ft_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_21_ft_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_21_ft_2") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_21_ft_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee2f92fe5e3218e5639f4d0e72f45fc805fb6aa6f325f17079be61ebaa44a883
- Size of remote file:
- 438 MB
- SHA256:
- dedd9e0241929745171a781471a46c40eb97720ed1dd47f5e5751fd2d0f5ee0d
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