| license: mit | |
| library_name: transformers | |
| pipeline_tag: unconditional-image-generation | |
| datasets: | |
| - commaai/commavq | |
| # commaVQ - GPT2M | |
| A GPT2M model trained on a larger version of the commaVQ dataset. | |
| This model is able to generate driving video unconditionally. | |
| Below is an example of 5 seconds of imagined video using GPT2M. | |
| <video title="imagined" controls> | |
| <source src="https://github.com/commaai/commavq/assets/29985433/f6f7699b-b6cb-4f9c-80c9-8e00d75fbfae" type="video/mp4"> | |
| </video> |