Instructions to use BAAI/Aquila-135M-Intermediate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/Aquila-135M-Intermediate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="BAAI/Aquila-135M-Intermediate")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BAAI/Aquila-135M-Intermediate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use BAAI/Aquila-135M-Intermediate with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "BAAI/Aquila-135M-Intermediate" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "BAAI/Aquila-135M-Intermediate", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/BAAI/Aquila-135M-Intermediate
- SGLang
How to use BAAI/Aquila-135M-Intermediate 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 "BAAI/Aquila-135M-Intermediate" \ --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": "BAAI/Aquila-135M-Intermediate", "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 "BAAI/Aquila-135M-Intermediate" \ --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": "BAAI/Aquila-135M-Intermediate", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use BAAI/Aquila-135M-Intermediate with Docker Model Runner:
docker model run hf.co/BAAI/Aquila-135M-Intermediate
Update README.md
Browse files
README.md
CHANGED
|
@@ -110,4 +110,9 @@ If you find this useful, please cite the following work
|
|
| 110 |
primaryClass={cs.CL},
|
| 111 |
url={},
|
| 112 |
}
|
| 113 |
-
```
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 110 |
primaryClass={cs.CL},
|
| 111 |
url={},
|
| 112 |
}
|
| 113 |
+
```
|
| 114 |
+
|
| 115 |
+
# Acknowledgements
|
| 116 |
+
|
| 117 |
+
This work is supported by the National Science and Technology Major Project (No. 2022ZD0116300).
|
| 118 |
+
本项目受新一代人工智能国家科技重大专项(No. 2022ZD0116300)支持。
|