Instructions to use ghazishazan/VideoMolmo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghazishazan/VideoMolmo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="ghazishazan/VideoMolmo", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("ghazishazan/VideoMolmo", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add library name, pipeline tag and link to code
#1
by nielsr HF Staff - opened
This PR makes sure:
- that the library is properly recognized.
- that people can find the model at https://huggingface.co/models?pipeline_tag=video-text-to-text&sort=trending.
- a link to the Github repository is present.
ghazishazan changed pull request status to merged