Instructions to use AmPac/trace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AmPac/trace with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("AmPac/trace") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use AmPac/trace with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "AmPac/trace" --prompt "Once upon a time"
- Atomic Chat
Download clock.png from AmPac/trace: direct link, hf CLI and curl.
- Browser
- Download file 46.1 kB
-
https://huggingface.co/AmPac/trace/resolve/main/clock.png
- Command line
-
hf download hf://AmPac/trace/clock.png
-
curl -L -o clock.png https://huggingface.co/AmPac/trace/resolve/main/clock.png
46.1 kB

- Xet hash:
- 543733007806367d15a2228f341a25eb06a96fd99c9e7101d7b1310437766af0
- Size of remote file:
- 46.1 kB
- SHA256:
- 049eb778b004eac83837496c27c27084ad8b63dfbeccd77eaf38774e7c0a80a8
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