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README.md
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---
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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## Model Card Contact
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[More Information Needed]
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license: apache-2.0
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language:
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- ko
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- en
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# Base Model
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beomi/Yi-Ko-6B
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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## Uses
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "TeamUNIVA/Komodo_6B_v3.0.0"
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model = AutoModelForCausalLM.from_pretrained(model_id)
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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text = '''<|system|>
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λΉμ μ μ¬μ©μμ μ§λ¬Έμ μΉμ νκ² λ΅λ³μ νλ μ±λ΄μ
λλ€.
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<|user|>
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μλ
νμΈμ?
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<|bot|>
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'''
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inputs = tokenizer(text, return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=20)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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## Model Card Contact
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[More Information Needed]
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