| # 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 |
| - **Dtype:** `bfloat16` |
| - **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 |
| from transformers import AutoModelForCausalGeneration, AutoTokenizer |
| |
| model_id = "your-model-path-or-repo" |
| |
| # Load the model and tokenizer |
| tokenizer = AutoTokenizer.from_pretrained(model_id) |
| model = AutoModelForCausalGeneration.from_pretrained( |
| model_id, |
| device_map="auto", |
| torch_dtype="auto" |
| ) |
| ``` |
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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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