Instructions to use yl4300/TAU-R1-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yl4300/TAU-R1-Classifier with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("yl4300/TAU-R1-Classifier") model = AutoModelForMultimodalLM.from_pretrained("yl4300/TAU-R1-Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add library name and pipeline tags, move paper link to markdown
#1
by nielsr HF Staff - opened
This PR improves the model card by:
- adding
library_name: transformersto enable the Transformers usage widget - adding
pipeline_tag: video-text-to-textso the model is discoverable under the appropriate pipeline - moving the paper link into the Markdown content
- adding a link to the code repository
yl4300 changed pull request status to merged