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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("leduckhai/Sentiment-Reasoning", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card: update pipeline tag, add library name, and link to Github repo
#2
by nielsr HF Staff - opened
This PR improves the model card by:
- Updating the
pipeline_tagtoaudio-text-to-textto 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: transformersas the model is compatible with the π€ Transformers library, enabling a quick "how to use" snippet on the model page.
leduckhai changed pull request status to merged