Instructions to use InMedData/InMD-X-RHE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InMedData/InMD-X-RHE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="InMedData/InMD-X-RHE")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InMedData/InMD-X-RHE", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use InMedData/InMD-X-RHE with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "InMedData/InMD-X-RHE" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "InMedData/InMD-X-RHE", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/InMedData/InMD-X-RHE
- SGLang
How to use InMedData/InMD-X-RHE 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 "InMedData/InMD-X-RHE" \ --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": "InMedData/InMD-X-RHE", "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 "InMedData/InMD-X-RHE" \ --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": "InMedData/InMD-X-RHE", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use InMedData/InMD-X-RHE with Docker Model Runner:
docker model run hf.co/InMedData/InMD-X-RHE
Upload model
Browse files- README.md +3 -3
- adapter_config.json +6 -6
- adapter_model.safetensors +1 -1
README.md
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library_name: transformers
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tags:
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- medical
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license: cc-by-nc-sa-4.0
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language:
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pipeline_tag: text-generation
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base_model: Intel/neural-chat-7b-v3-1
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language:
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license: cc-by-nc-sa-4.0
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library_name: transformers
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tags:
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- medical
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pipeline_tag: text-generation
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base_model: Intel/neural-chat-7b-v3-1
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---
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adapter_config.json
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"bias": "none",
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"task_type": "CAUSAL_LM"
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"base_model_name_or_path": "Intel/neural-chat-7b-v3-1",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"task_type": "CAUSAL_LM"
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