Text Generation
Transformers
PyTorch
Safetensors
Tagalog
custom_henyo_culturax
custom-architecture
henyo
Instructions to use MaAIos/Henyo-153M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MaAIos/Henyo-153M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="MaAIos/Henyo-153M")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MaAIos/Henyo-153M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use MaAIos/Henyo-153M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MaAIos/Henyo-153M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MaAIos/Henyo-153M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/MaAIos/Henyo-153M
- SGLang
How to use MaAIos/Henyo-153M 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 "MaAIos/Henyo-153M" \ --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": "MaAIos/Henyo-153M", "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 "MaAIos/Henyo-153M" \ --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": "MaAIos/Henyo-153M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use MaAIos/Henyo-153M with Docker Model Runner:
docker model run hf.co/MaAIos/Henyo-153M
Download model.safetensors from MaAIos/Henyo-153M: direct link, hf CLI and curl.
- Browser
- Download file 456 MB
-
https://huggingface.co/MaAIos/Henyo-153M/resolve/main/model.safetensors
- Command line
-
hf download hf://MaAIos/Henyo-153M/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/MaAIos/Henyo-153M/resolve/main/model.safetensors
456 MB
- Xet hash:
- 98710f5bb1e500fd6c18010b5e98026d1f6a4531f910ed788b807bd013416a38
- Size of remote file:
- 456 MB
- SHA256:
- fddf5009d4e733cd9f2950dfb89d498f0cfb0f886c8c519095d9f32f44e84a2d
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