Instructions to use denyyys/mlx_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use denyyys/mlx_test 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("denyyys/mlx_test") 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 denyyys/mlx_test with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "denyyys/mlx_test" --prompt "Once upon a time"
- Atomic Chat
2ce264460373a7d701a7a5f298b820df06e52694a3dc8af05175a0ca04ef5948
Browse files
model-00001-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5cb6af29792c3528eb3a3c85bc93e0290af36121e5cb1c1a7ab6d8fb4e0b10c6
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size 5343884173
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