Instructions to use mlx-community/distilgpt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/distilgpt2 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/distilgpt2") 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/distilgpt2 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/distilgpt2" --prompt "Once upon a time"
- Atomic Chat
Commit History
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Cite benchmark hardware (M5 Max) in conversion check
Gabriel Francisco dos Santos SilvaVerified signature58c64c4 -
Point base_model to canonical distilbert/distilgpt2
Gabriel Francisco dos Santos SilvaVerified signaturedef7255 -
Add bf16 MLX conversion of distilgpt2
Gabriel Francisco dos Santos SilvaVerified signature96dc34c -
initial commit
Gabriel Francisco dos Santos SilvaVerified signature142ef96