Text Generation
Transformers
Safetensors
English
bard
feature-extraction
interactive-fiction
text-adventure
storytelling
custom_code
Instructions to use lowerkey/bard-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lowerkey/bard-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="lowerkey/bard-small", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lowerkey/bard-small", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use lowerkey/bard-small with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "lowerkey/bard-small" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lowerkey/bard-small", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/lowerkey/bard-small
- SGLang
How to use lowerkey/bard-small 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 "lowerkey/bard-small" \ --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": "lowerkey/bard-small", "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 "lowerkey/bard-small" \ --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": "lowerkey/bard-small", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use lowerkey/bard-small with Docker Model Runner:
docker model run hf.co/lowerkey/bard-small
Download format.txt from lowerkey/bard-small: direct link, hf CLI and curl.
- Browser
- Download file 420 Bytes
-
https://huggingface.co/lowerkey/bard-small/resolve/main/format.txt
- Command line
-
hf download hf://lowerkey/bard-small/format.txt
-
curl -L -o format.txt https://huggingface.co/lowerkey/bard-small/resolve/main/format.txt
420 Bytes
| <|start|>state<|content|>money | |
| 10<|sep|>rusty key | |
| 0<|end|><|start|>story<|content|>some story text<|choices|>I want to do X<|sep|>I want to do Y<|end|><|start|>player<|content|>I want to do X<|end|><|start|>story<|content|>some story content written by the model<|vars|>money<|add|>10<|sep|>rusty key<|set|>1<|choices|>I want to do Z<|sep|>I want to do W<|end|><|start|>state<|content|>money | |
| 20<|sep|>rusty key | |
| 1<|end|> | |