Omar AbedelKader commited on
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add read-me
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README.md
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# Fine-Tuned Gemma Model
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This is a fine-tuned version of the [Gemma 4](https://ai.google.dev/gemma) architecture, specifically adapted for specialized tasks.
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## Model Details
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- **Base Architecture:** Gemma 4
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- **Dtype:** `bfloat16`
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- **Model Type:** Multimodal (Text, Vision, Audio, Video)
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## Usage
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You can load this model using the Hugging Face `transformers` library:
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```python
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from transformers import AutoModelForCausalGeneration, AutoTokenizer
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model_id = "your-model-path-or-repo"
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# Load the model and tokenizer
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalGeneration.from_pretrained(
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model_id,
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device_map="auto",
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torch_dtype="auto"
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)
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```
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## License
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This model is released under the [MIT License](LICENSE). Please adhere to the usage guidelines provided by the original Gemma release.
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