Instructions to use dgalik/emoBank_test1_epoch30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dgalik/emoBank_test1_epoch30 with Transformers:
# Load model directly from transformers import AutoTokenizer, DistilBertForMultiOutputRegression tokenizer = AutoTokenizer.from_pretrained("dgalik/emoBank_test1_epoch30") model = DistilBertForMultiOutputRegression.from_pretrained("dgalik/emoBank_test1_epoch30") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9da6368af228192ee5c432bcccb4f4fba8c091901b404afe0c768e695fc0e84
- Size of remote file:
- 3.96 kB
- SHA256:
- 3b3567a2e60444adf8b5df50bbd10e89e4a270877fc278e76a01121af3af4701
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