Instructions to use Jeevesh8/multiberts_seed_10_ft_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_10_ft_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_10_ft_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_10_ft_3") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_10_ft_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ddead3a7a1745d9f9921b8981a9aca3eb9f66df9cdd87f608521d68636169398
- Size of remote file:
- 438 MB
- SHA256:
- 52a2d7c8283cab2e302b991c022e8e1fc1074d238a778f69001c90f441594834
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