Spaces:
Running
Running
A newer version of the Gradio SDK is available:
6.1.0
Running dashVectorspace on Google Colab
Since the ingestion process can be compute-intensive, running on Google Colab (especially with a GPU) is a great option.
Steps
Setup Environment: Open the notebook
notebooks/dashVector_full_benchmark.ipynb. Since it clones the code directly from Hugging Face, you do not need to upload any zip files.Simply Run All Cells. The notebook will:
- Clone
https://huggingface.co/spaces/dashVector/dashVectorSpace - Install dependencies
- Run the 25k Benchmark
- Prompt to download artifacts
- Clone
Download Artifacts: The notebook will save models to the
models/directory. Zip and download this folder to your local machine:!zip -r models.zip models from google.colab import files files.download('models.zip')Then, place these files into
dashVectorspace/models/and re-deploy.