Text Generation
Transformers
TensorBoard
Safetensors
biology
genomics
rna
sequence-generation
regression
reinforcement-learning
git-lfs
Instructions to use JoyXiangLab/rnaseek-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoyXiangLab/rnaseek-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="JoyXiangLab/rnaseek-full")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JoyXiangLab/rnaseek-full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use JoyXiangLab/rnaseek-full with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "JoyXiangLab/rnaseek-full" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "JoyXiangLab/rnaseek-full", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/JoyXiangLab/rnaseek-full
- SGLang
How to use JoyXiangLab/rnaseek-full with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "JoyXiangLab/rnaseek-full" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "JoyXiangLab/rnaseek-full", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "JoyXiangLab/rnaseek-full" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "JoyXiangLab/rnaseek-full", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use JoyXiangLab/rnaseek-full with Docker Model Runner:
docker model run hf.co/JoyXiangLab/rnaseek-full
| name: Build and Deploy Sphinx Docs | |
| on: | |
| push: | |
| branches: ["main"] | |
| paths: | |
| - "docs/**" | |
| pull_request: | |
| branches: ["main"] | |
| paths: | |
| - "docs/**" | |
| workflow_dispatch: | |
| permissions: | |
| contents: read | |
| pages: write | |
| id-token: write | |
| concurrency: | |
| group: "pages" | |
| cancel-in-progress: false | |
| jobs: | |
| build: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Set up Python | |
| uses: actions/setup-python@v5 | |
| with: | |
| python-version: '3.11' | |
| - name: Install dependencies | |
| run: | | |
| pip install -r docs/requirements.txt | |
| - name: Build Sphinx | |
| run: | | |
| sphinx-build -b html docs/zh docs/_build/html/zh | |
| sphinx-build -b html docs/en docs/_build/html/en | |
| printf '%s\n' \ | |
| '<!DOCTYPE html>' \ | |
| '<html>' \ | |
| ' <head>' \ | |
| ' <meta charset="utf-8" />' \ | |
| ' <meta http-equiv="refresh" content="0; url=zh/index.html" />' \ | |
| ' <script>window.location.href="zh/index.html"+window.location.search+window.location.hash;</script>' \ | |
| ' <title>Redirecting...</title>' \ | |
| ' </head>' \ | |
| ' <body>' \ | |
| ' <a href="zh/index.html">Redirecting...</a>' \ | |
| ' </body>' \ | |
| '</html>' \ | |
| > docs/_build/html/index.html | |
| touch docs/_build/html/.nojekyll | |
| - name: Setup Pages | |
| uses: actions/configure-pages@v5 | |
| - name: Upload artifact | |
| uses: actions/upload-pages-artifact@v3 | |
| with: | |
| path: docs/_build/html | |
| deploy: | |
| environment: | |
| name: github-pages | |
| url: ${{ steps.deployment.outputs.page_url }} | |
| runs-on: ubuntu-latest | |
| needs: build | |
| steps: | |
| - name: Deploy to GitHub Pages | |
| id: deployment | |
| uses: actions/deploy-pages@v4 | |