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
| x-build-args: &build-args | |
| PIP_INDEX: https://pypi.org/simple | |
| x-build: | |
| dockerfile: ./docker/docker-npu/Dockerfile | |
| context: ../.. | |
| x-npu-common: &npu-common | |
| volumes: | |
| - /usr/local/dcmi:/usr/local/dcmi | |
| - /usr/local/bin/npu-smi:/usr/local/bin/npu-smi | |
| - /usr/local/Ascend/driver:/usr/local/Ascend/driver | |
| - /etc/ascend_install.info:/etc/ascend_install.info | |
| ipc: host | |
| tty: true | |
| # shm_size: "16gb" # ipc: host is set | |
| stdin_open: true | |
| command: bash | |
| devices: | |
| - /dev/davinci0 | |
| - /dev/davinci_manager | |
| - /dev/devmm_svm | |
| - /dev/hisi_hdc | |
| restart: unless-stopped | |
| services: | |
| llamafactory-a2-ubuntu: | |
| <<: *npu-common | |
| build: | |
| <<: | |
| args: | |
| <<: *build-args | |
| BASE_IMAGE: quay.io/ascend/cann:9.0.0-910b-ubuntu22.04-py3.11 | |
| container_name: llamafactory-a2-ubuntu | |
| image: llamafactory:npu-a2-ubuntu | |
| ports: | |
| - "7860:7860" | |
| - "8000:8000" | |
| llamafactory-a3-ubuntu: | |
| <<: *npu-common | |
| profiles: ["a3"] | |
| build: | |
| <<: | |
| args: | |
| <<: *build-args | |
| BASE_IMAGE: quay.io/ascend/cann:9.0.0-a3-ubuntu22.04-py3.11 | |
| container_name: llamafactory-a3-ubuntu | |
| image: llamafactory:npu-a3-ubuntu | |
| ports: | |
| - "7861:7860" | |
| - "8001:8000" | |
| llamafactory-a2-openeuler: | |
| <<: *npu-common | |
| profiles: ["openeuler"] | |
| build: | |
| <<: | |
| args: | |
| <<: *build-args | |
| BASE_IMAGE: quay.io/ascend/cann:9.0.0-910b-openeuler24.03-py3.11 | |
| container_name: llamafactory-a2-openeuler | |
| image: llamafactory:npu-a2-openeuler | |
| ports: | |
| - "7862:7860" | |
| - "8002:8000" | |
| llamafactory-a3-openeuler: | |
| <<: *npu-common | |
| profiles: ["a3-openeuler"] | |
| build: | |
| <<: | |
| args: | |
| <<: *build-args | |
| BASE_IMAGE: quay.io/ascend/cann:9.0.0-a3-openeuler24.03-py3.11 | |
| container_name: llamafactory-a3-openeuler | |
| image: llamafactory:npu-a3-openeuler | |
| ports: | |
| - "7863:7860" | |
| - "8003:8000" | |