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+ ---
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+ license: gemma
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+ language:
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+ - te
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+ base_model: google/gemma-2-9b
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+ library_name: transformers
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+ ---
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+ # Gemma2 9B for Telugu: No vocabulary adaptation
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+
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+ This model is built on top of Gemma2 9B adapted for Telugu using 30K target language sentences sampled from CC-100.
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+
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+ ## Model Details
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+
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+ * **Vocabulary**: This model has no additional target vocabulary. It retains the original vocabulary of Gemma2 9B.
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+
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+
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+ ## Model Description
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+
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+ - **Language:** Telugu
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+ - **License:** Gemma Terms of Use
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+ - **Fine-tuned from model:** google/gemma-2-9b
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+
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+
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+ ## Model Sources
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+
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+ - **Repository:** https://github.com/gucci-j/lowres-cve
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+ - **Paper:** https://arxiv.org/abs/2406.11477
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+
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+ ## How to Get Started with the Model
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+ Use the code below to get started with the model.
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+ ```python
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+ from transformers import AutoTokenizer, AutoModelForCausalLM
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+
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+ model = AutoModelForCausalLM.from_pretrained(
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+ "atsuki-yamaguchi/gemma-2-9b-te-30K-lapt"
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+ )
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+ tokenizer = AutoTokenizer.from_pretrained(
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+ "atsuki-yamaguchi/gemma-2-9b-te-30K-lapt"
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+ )
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+ ```
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+
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+