Instructions to use ArmandS11/DeepSeekR1-7B-FineTuned-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ArmandS11/DeepSeekR1-7B-FineTuned-python 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("ArmandS11/DeepSeekR1-7B-FineTuned-python") 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 ArmandS11/DeepSeekR1-7B-FineTuned-python with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "ArmandS11/DeepSeekR1-7B-FineTuned-python" --prompt "Once upon a time"
Upload the model. I put that in a Zip. Because you know, it's easier.
Browse files
DeepSeek-R1-FineTuned-Python.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:58dd15d1e03799758522d26fc0954784dbb43319afcc96e28b4f6977ddf6b117
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size 5326738397
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