Instructions to use Jeevesh8/multiberts_seed_22_ft_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_22_ft_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_22_ft_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_22_ft_3") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_22_ft_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5fbae35c47a64ff139e08cb57b55bd5d4c58974eb0e7789c4c0ba3d5f7235772
- Size of remote file:
- 438 MB
- SHA256:
- 121c19b47dc7e8e9da7ca235867f521efedd1bc58f61281f57a81735545c951f
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