Text Generation
Transformers
Safetensors
English
simple_stories_4m
text-generation-inference
custom_code
Instructions to use aimlessdrivel/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aimlessdrivel/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="aimlessdrivel/test", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("aimlessdrivel/test", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use aimlessdrivel/test with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "aimlessdrivel/test" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "aimlessdrivel/test", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/aimlessdrivel/test
- SGLang
How to use aimlessdrivel/test 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 "aimlessdrivel/test" \ --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": "aimlessdrivel/test", "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 "aimlessdrivel/test" \ --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": "aimlessdrivel/test", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use aimlessdrivel/test with Docker Model Runner:
docker model run hf.co/aimlessdrivel/test
File size: 418 Bytes
750522a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"architectures": [
"SimpleStories4MModel"
],
"auto_map": {
"AutoConfig": "configuration_ss4m.SimpleStories4MConfig",
"AutoModelForCausalLM": "modeling_ss4m.SimpleStories4MModel"
},
"block_size": 1080,
"dropout": 0.1,
"model_type": "simple_stories_4m",
"n_embed": 256,
"n_heads": 2,
"n_layers": 4,
"torch_dtype": "float32",
"transformers_version": "4.36.2",
"vocab_size": 2048
}
|