Spaces:
Paused
Paused
File size: 1,954 Bytes
52cbeb1 b0660fb 52cbeb1 b0660fb acbbf71 00b0386 acbbf71 b0660fb acbbf71 52318ec acbbf71 52318ec acbbf71 b0660fb acbbf71 f5f1590 b0660fb f5f1590 b0660fb f5f1590 b0660fb f5f1590 b0660fb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 |
---
title: lisa + gradio + fastapi + ZeroGPU
emoji: ⚡
colorFrom: red
colorTo: purple
sdk: gradio
sdk_version: 4.37.2
app_file: app.py
pinned: true
---
# LISA (Reasoning Segmentation via Large Language Model) on cuda, now with huggingface ZeroGPU support!
## Exec jupyter on the remote server with port forwarding on localhost
1. checkout repo, install venv with jupyter
2. port forwarding in localhost wiht private key: `ssh -i /path/to/private_key name@endpoint.com -L 8889:localhost:8889 -N -f`
3. start the jupyter-lab server
4. connect to page in localhost
## Commands to work on remote virtual machines (e.g. SaturnCloud) after clone and git lfs install
```bash
cd ~/workspace/lisa-on-cuda/
rm -rf lisa_venv
python3 -m venv lisa_venv
ln -s lisa_venv/ venv
source venv/bin/activate
pip --version
which python
python -m pip install pip wheel --upgrade
python -m pip install pytest pytest-cov jupyterlab
python -m pip install -r requirements.txt
nohup jupyter-lab &
tail -F nohup.out
```
# Jupyterlab Howto
To run the `test.ipynb` notebook you should already:
- cloned project https://huggingface.co/spaces/aletrn/lisa-on-cuda with active git lfs
- created and activated a virtualenv
- installed jupyterlab dependencies from requirements_jupyter.txt
- installed dependencies from requirements.txt
## Hardware requirements for local usage
- an nvidia gpu with 10 or 12GB of memory (a T4 should suffice)
- at least 16GB of system ram
## Hardware requirements on huggingface ZeroGPU
Right now (July 2024) huggingface let use ZeroGPU Nvidia A100 GPUs.
[](http://103.170.5.190:7860/)
[](https://openxlab.org.cn/apps/detail/openxlab-app/LISA)
See [LISA](https://github.com/dvlab-research/LISA) for details on the original project.
Note that the authors don't keep the project updated anymore.
|