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
Commit ·
07cfba1
1
Parent(s): d850594
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:52d6a0a480615a6213e39edbf6da15e65c20a256432be22343908b38a0e5eeb2
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size 242032202
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