Instructions to use leduckhai/Sentiment-Reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leduckhai/Sentiment-Reasoning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("leduckhai/Sentiment-Reasoning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Improve model card: update pipeline tag, add library name, and link to Github repo
Verified signatureThis PR improves the model card by: - Updating the `pipeline_tag` to `audio-text-to-text` to better reflect the model's capabilities as a multimodal language model. This will help users discover the model at https://huggingface.co/models?pipeline_tag=audio-text-to-text. - Adding `library_name: transformers` as the model is compatible with the 🤗 Transformers library, enabling a quick "how to use" snippet on the model page.bd726e6
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Verified signature- Update README.md (26033631eca5250002818ddaf256b9cf78861333) Co-authored-by: Khai-Nguyen Nguyen <[email protected]>481ace6
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