Instructions to use mlx-community/gemma-2b-coder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/gemma-2b-coder 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("mlx-community/gemma-2b-coder") 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 mlx-community/gemma-2b-coder with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "mlx-community/gemma-2b-coder" --prompt "Once upon a time"
File size: 133 Bytes
378fe21 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d0d908b4f9326e0998815690e325b6abbd378978553e10627924dd825db7e243
size 17477553
|