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--- |
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license: mit |
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base_model: |
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- jinaai/ReaderLM-v2 |
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tags: |
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- mlx |
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--- |
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# mlx-community/jinaai-ReaderLM-v2 |
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The Model [mlx-community/jinaai-ReaderLM-v2](https://huggingface.co/mlx-community/jinaai-ReaderLM-v2) was |
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converted to MLX format from [jinaai/ReaderLM-v2](https://huggingface.co/jinaai/ReaderLM-v2). |
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--- |
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## Use with mlx |
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```bash |
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pip install mlx-lm |
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``` |
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```python |
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from mlx_lm import load, generate |
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model, tokenizer = load("mlx-community/jinaai-ReaderLM-v2") |
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prompt="hello" |
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if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None: |
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messages = [{"role": "user", "content": prompt}] |
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prompt = tokenizer.apply_chat_template( |
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messages, tokenize=False, add_generation_prompt=True |
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) |
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response = generate(model, tokenizer, prompt=prompt, verbose=True) |
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``` |
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--- |
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## Use with mlx model manager |
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```bash |
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Add Package Dependency in xcode: https://github.com/kunal732/MLX-Model-Manager |
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``` |
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```swift |
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import SwiftUI |
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import MLXModelManager |
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struct ContentView: View { |
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@StateObject var JinaManager = ModelManager(modelPath: "mlx-community/jinaai-ReaderLM-v2") |
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var body: some View { |
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VStack { |
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Button("answer prompt"){ |
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Task { |
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//load model |
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try await JinaManager.loadModel() |
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//inference |
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await JinaManager.generate( |
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prompt: "convert to markdown: <!DOCTYPE html><html><body><h1>Html Heading One</h1><p>first paragraph.</p></body></html>" |
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) |
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} |
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} |
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//Model Output |
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Text(JinaManager.output) |
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} |
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.padding() |
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} |
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} |
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``` |
