Instructions to use Jeevesh8/multiberts_seed_1_ft_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_1_ft_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_1_ft_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_1_ft_2") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_1_ft_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82c522abb21903c8c67f468b3aad275dadec5b64a73476402cfe15e4b12cc5aa
- Size of remote file:
- 438 MB
- SHA256:
- 5c9e3f99c0acd67a3663a6aee904fd40273241864f056ff61f5e6eb5a890bd5c
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