Instructions to use Randgris/Agila-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Randgris/Agila-v1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Randgris/Agila-v1.0")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Randgris/Agila-v1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Randgris/Agila-v1.0 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Randgris/Agila-v1.0" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Randgris/Agila-v1.0", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Randgris/Agila-v1.0
- SGLang
How to use Randgris/Agila-v1.0 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 "Randgris/Agila-v1.0" \ --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": "Randgris/Agila-v1.0", "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 "Randgris/Agila-v1.0" \ --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": "Randgris/Agila-v1.0", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Randgris/Agila-v1.0 with Docker Model Runner:
docker model run hf.co/Randgris/Agila-v1.0
Download sample.json from Randgris/Agila-v1.0: direct link, hf CLI and curl.
- Browser
- Download file 197 Bytes
-
https://huggingface.co/Randgris/Agila-v1.0/resolve/main/sample.json
- Command line
-
hf download hf://Randgris/Agila-v1.0/sample.json
-
curl -L -o sample.json https://huggingface.co/Randgris/Agila-v1.0/resolve/main/sample.json
197 Bytes
| { | |
| "prompt": "Ang Maynila ay", | |
| "completion": "Ang Maynila ay isang arkipelago saedia na tumatakbo sa.�Ang angorag-patsang songeryeo ay sapi. float32.anong kailangang i-alim na halimbawaahin" | |
| } |