Instructions to use ColorfulAI/M4-Audio-LongVA-7B-Qwen2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ColorfulAI/M4-Audio-LongVA-7B-Qwen2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ColorfulAI/M4-Audio-LongVA-7B-Qwen2") model = AutoModelForCausalLM.from_pretrained("ColorfulAI/M4-Audio-LongVA-7B-Qwen2") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, library name, paper link and Github link
#1
by nielsr HF Staff - opened
This PR adds the video-text-to-text pipeline tag and ensures the model can be found at https://huggingface.co/models?pipeline_tag=video-text-to-text&sort=trending.
It also adds the library_name tag to specify that the model uses the transformers library, a link to the relevant paper and a link to the Github repository, ensuring people can find the code.
ColorfulAI changed pull request status to merged