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:
- b733da28ecba5ed4442849ef954120d0a80714e0209c43f77fc7629a8e6d2a56
- Size of remote file:
- 268 MB
- SHA256:
- 110e3988182582f721ef4859a8bf7dfa0e55ad4ef4939a6736337b7a5132c56b
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