Instructions to use mlx-community/phi-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/phi-2 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/phi-2") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- MLX LM
How to use mlx-community/phi-2 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/phi-2" --prompt "Once upon a time"
- Xet hash:
- 774909777ca94d45709296cb527476cd6d45879c507b4d072f16e65962c3e0f3
- Size of remote file:
- 5.56 GB
- SHA256:
- 1375cdd33c93ab79ee7acb6782d5a1e6b758c8160c9573e3484908b65d212843
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