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 Settings
- 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"
- Xet hash:
- 2f28c3a8a9fe17941bb5a0a5cc6a0b41d37ee288994e2be0922c1cca6baef6be
- Size of remote file:
- 5.33 GB
- SHA256:
- 58dd15d1e03799758522d26fc0954784dbb43319afcc96e28b4f6977ddf6b117
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