Instructions to use dgalik/emoBank_test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dgalik/emoBank_test3 with Transformers:
# Load model directly from transformers import AutoTokenizer, DistilBertForMultiOutputRegression tokenizer = AutoTokenizer.from_pretrained("dgalik/emoBank_test3") model = DistilBertForMultiOutputRegression.from_pretrained("dgalik/emoBank_test3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 055f5229e7991730497e1eb185492196ab41fef3d4fe9f42b68486411b36d6b0
- Size of remote file:
- 268 MB
- SHA256:
- ea1b47edee0f090fa2cbc7eebb1e45bca756e2b1598e9c9eb0a704415466571f
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