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@@ -124,7 +124,7 @@ LFM2-24B-A2B is supported by many inference frameworks. See the [Inference docum
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  | [MLX](https://github.com/ml-explore/mlx) | Apple's machine learning framework optimized for Apple Silicon. | <a href="https://docs.liquid.ai/lfm/inference/mlx">Link</a> | — |
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  | [LM Studio](https://lmstudio.ai/) | Desktop application for running LLMs locally. | <a href="https://docs.liquid.ai/lfm/inference/lm-studio">Link</a> | — |
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- Here's a quick start example with Transformers:
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
 
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  | [MLX](https://github.com/ml-explore/mlx) | Apple's machine learning framework optimized for Apple Silicon. | <a href="https://docs.liquid.ai/lfm/inference/mlx">Link</a> | — |
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  | [LM Studio](https://lmstudio.ai/) | Desktop application for running LLMs locally. | <a href="https://docs.liquid.ai/lfm/inference/lm-studio">Link</a> | — |
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+ Here's a quick start example with Transformers (compatible with `transformers>=5.0.0`):
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer