Instructions to use yaolily/TimeChat-Captioner-GRPO-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yaolily/TimeChat-Captioner-GRPO-7B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("yaolily/TimeChat-Captioner-GRPO-7B") model = AutoModelForTextToWaveform.from_pretrained("yaolily/TimeChat-Captioner-GRPO-7B") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag and library name to metadata
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community science team.
This PR improves the model card by adding:
pipeline_tag: video-text-to-text: This ensures the model is correctly categorized and discoverable in the video-to-text category.library_name: transformers: This enables the "Use in Transformers" button and automated code snippets on the model page, as the model is compatible with thetransformerslibrary.
I have also added a link to the official GitHub repository in the Overview section for better accessibility.
yaolily changed pull request status to merged