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@@ -140,6 +140,20 @@ Key improvements over Gemma-2B baseline:
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  **Note**: This is a base language model, not an instruction-tuned model. It is not optimized for chat or instruction following. For best results, use standard text completion rather than chat templates.
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  **Note**: This is a base language model, not an instruction-tuned model. It is not optimized for chat or instruction following. For best results, use standard text completion rather than chat templates.
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+ Also make sure you have the sentencepiece tokenizer installed:
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+
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+ ```bash
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+ pip install sentencepiece
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+ ```
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+ ```python
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+ from transformers import pipeline
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+ pipe = pipeline("text-generation", model="flair/bueble-lm-2b")
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+ pipe("Ich bin")
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+ ```
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+ Or with the full model api:
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+
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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