Instructions to use seduerr/pai_emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seduerr/pai_emotion with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("seduerr/pai_emotion") model = AutoModelForSeq2SeqLM.from_pretrained("seduerr/pai_emotion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1dc875f8a46744b770912a5e3a630035005d10d7fb6b343facd477fb3c266fa3
- Size of remote file:
- 242 MB
- SHA256:
- 52d6a0a480615a6213e39edbf6da15e65c20a256432be22343908b38a0e5eeb2
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