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README.md
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@@ -76,4 +76,21 @@ tokenizer = AutoTokenizer.from_pretrained("b-aser/jku-g3-llm-v2")
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inputs = tokenizer("Your input text here", return_tensors="pt")
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outputs = model.generate(**inputs)
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print(tokenizer.decode(outputs[0]))
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inputs = tokenizer("Your input text here", return_tensors="pt")
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outputs = model.generate(**inputs)
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print(tokenizer.decode(outputs[0]))
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You can customize this further by:
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1. Adding more specific details about the architecture
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2. Including information about the training data
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3. Adding more detailed usage examples
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4. Providing more specific environmental impact calculations
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5. Adding any ethical considerations or bias analyses you've conducted
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Contact Information
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For questions, feedback, or collaboration opportunities, please contact:
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Maintainer : Aser T. Alemu
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Email : [email protected]
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GitHub : github.com/b-aser
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