Instructions to use dgalik/emoBank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dgalik/emoBank with Transformers:
# Load model directly from transformers import AutoTokenizer, DistilBertForMultiOutputRegression tokenizer = AutoTokenizer.from_pretrained("dgalik/emoBank") model = DistilBertForMultiOutputRegression.from_pretrained("dgalik/emoBank") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b07b4167bbcea5ecef489ddcb45834f8301b9ab5d3fa205a474426a530810f81
- Size of remote file:
- 268 MB
- SHA256:
- 462a2244f7f1aa1d1cf9a82c74a10938bc85241a232fd3654e50e2ca9927d599
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