atsuki-yamaguchi
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README.md
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@@ -31,12 +31,18 @@ This model is built on top of Gemma2 9B adapted for Telugu using 30K target lang
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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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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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-
"
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)
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```
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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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from peft import PeftModelForCausalLM
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model = AutoModelForCausalLM.from_pretrained(
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"google/gemma-2-9b"
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)
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model = PeftModelForCausalLM.from_pretrained(
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model,
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"atsuki-yamaguchi/gemma-2-9b-te-30K-lapt"
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)
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model = model.merge_and_unload()
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tokenizer = AutoTokenizer.from_pretrained(
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"google/gemma-2-9b"
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)
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```
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