Instructions to use codelion/malm-165m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use codelion/malm-165m 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("codelion/malm-165m") 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 codelion/malm-165m with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "codelion/malm-165m" --prompt "Once upon a time"
Upload inference.py with huggingface_hub
Browse files- inference.py +1 -1
inference.py
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pip install mlx huggingface_hub
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# Download and run
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huggingface-cli download
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python malm-165m/inference.py --query "function that sorts a list"
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"""
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pip install mlx huggingface_hub
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# Download and run
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huggingface-cli download codelion/malm-165m --local-dir ./malm-165m
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python malm-165m/inference.py --query "function that sorts a list"
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"""
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