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:
- 810282cf3f6f8db56e17db186f516e90eaf54e3502ca6a59eebbccfbe3ec230f
- Size of remote file:
- 3.96 kB
- SHA256:
- b102f4fc9c3042c7355f0db7977f9d65d6fa5f37aff3286b917c74f0771a28d1
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