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@@ -46,9 +46,9 @@ The training took place on a 32 GB Nvidia Tesla V100
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  ## Usage
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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- tokenizer = AutoTokenizer.from_pretrained("laurabernardy/LuxGPT2basedGER")
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- model = AutoModelForCausalLM.from_pretrained("laurabernardy/LuxGPT2basedGER")
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  ```
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  ## Limitations and Biases
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  See the [GPT2 model card](https://huggingface.co/gpt2) for considerations on limitations and bias. See the [GPT2 documentation](https://huggingface.co/transformers/model_doc/gpt2.html) for details on GPT2.
 
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  ## Usage
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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+ tokenizer = AutoTokenizer.from_pretrained("laurabernardy/LuxGPT2-basedGER")
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+ model = AutoModelForCausalLM.from_pretrained("laurabernardy/LuxGPT2-basedGER")
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  ```
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  ## Limitations and Biases
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  See the [GPT2 model card](https://huggingface.co/gpt2) for considerations on limitations and bias. See the [GPT2 documentation](https://huggingface.co/transformers/model_doc/gpt2.html) for details on GPT2.