Instructions to use llmware/slim-emotions-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use llmware/slim-emotions-onnx with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("llmware/slim-emotions-onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59c560d48ea0a1bce02010b5f49717bd5c568fe52e4c4646693bf5ae16f39834
- Size of remote file:
- 143 kB
- SHA256:
- 56395066b915e546962905b6664ede6a189baed3e1c9b5e2fead454bb3e9c332
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