Instructions to use actionpace/my-t5-emotion1-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use actionpace/my-t5-emotion1-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("actionpace/my-t5-emotion1-base") model = AutoModelForMultimodalLM.from_pretrained("actionpace/my-t5-emotion1-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ae212500e1e2e2ab71cec656c209d251e9ece8a144322341b4656d6586efb5d
- Size of remote file:
- 892 MB
- SHA256:
- 3e31da2e1ed0fc2d4f64a267583cdfcdcce1abd06e63394c8d25afba735d1fc3
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