Instructions to use RUC-DataLab/DeepAnalyze-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RUC-DataLab/DeepAnalyze-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="RUC-DataLab/DeepAnalyze-8B")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RUC-DataLab/DeepAnalyze-8B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use RUC-DataLab/DeepAnalyze-8B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "RUC-DataLab/DeepAnalyze-8B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RUC-DataLab/DeepAnalyze-8B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/RUC-DataLab/DeepAnalyze-8B
- SGLang
How to use RUC-DataLab/DeepAnalyze-8B 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 "RUC-DataLab/DeepAnalyze-8B" \ --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": "RUC-DataLab/DeepAnalyze-8B", "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 "RUC-DataLab/DeepAnalyze-8B" \ --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": "RUC-DataLab/DeepAnalyze-8B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use RUC-DataLab/DeepAnalyze-8B with Docker Model Runner:
docker model run hf.co/RUC-DataLab/DeepAnalyze-8B
Adding `transformers` as the library name
Browse files
README.md
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datasets:
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- RUC-DataLab/DataScience-Instruct-500K
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pipeline_tag: table-question-answering
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---
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<p align="center" width="100%">
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<img src="assets/logo.png" alt="DeepAnalyze" style="width: 60%; min-width: 300px; display: block; margin: auto;">
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<img src="./assets/deepanalyze.jpg" alt="deepanalyze" style="width: 70%; min-width: 300px; display: block; margin: auto;">
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</p>
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More information refer to [DeepAnalyze's Repo](https://github.com/ruc-datalab/DeepAnalyze)
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datasets:
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- RUC-DataLab/DataScience-Instruct-500K
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pipeline_tag: table-question-answering
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library_name: transformers
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---
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<p align="center" width="100%">
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<img src="assets/logo.png" alt="DeepAnalyze" style="width: 60%; min-width: 300px; display: block; margin: auto;">
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<img src="./assets/deepanalyze.jpg" alt="deepanalyze" style="width: 70%; min-width: 300px; display: block; margin: auto;">
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</p>
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More information refer to [DeepAnalyze's Repo](https://github.com/ruc-datalab/DeepAnalyze)
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