Instructions to use dgalik/emoBank_test1_epoch20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dgalik/emoBank_test1_epoch20 with Transformers:
# Load model directly from transformers import AutoTokenizer, DistilBertForMultiOutputRegression tokenizer = AutoTokenizer.from_pretrained("dgalik/emoBank_test1_epoch20") model = DistilBertForMultiOutputRegression.from_pretrained("dgalik/emoBank_test1_epoch20") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30f08880e0a3e0f844de1008f1c997cfd51e0f54ac9c6d7435c7f89ae92849c7
- Size of remote file:
- 268 MB
- SHA256:
- e4e739ed9b2d67ec57a78316c5efc6a7e2a7ce3dea1b0f5dfc1e61e712aa03d2
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