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  1. README.md +4 -6
README.md CHANGED
@@ -9,13 +9,11 @@ pipeline_tag: text-generation
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  # Gromenauer-7B
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  <div align=center>
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- <img alt="gromenauer-7B logo" src="https://huggingface.co/bertin-project/bertin-gromenauer/resolve/main/images/gromenauer.png" width="200px">
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  </div>
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  ## Overview
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-
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- gromenauer-7B is a Spanish language model designed to understand and generate high-quality Spanish text. Developed using the robust Mistral architecture, this model has been trained on an extensive literary corpus, ensuring it captures a wide range of linguistic nuances, styles, and contexts found in Spanish literature.
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- ## Model Details
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  - **Model Type**: Mistral
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  - **Sequence Length**: 8192
@@ -51,10 +49,10 @@ To load the model in your project, you can use the following code:
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  from transformers import AutoModel, AutoTokenizer
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  # Load the tokenizer
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- tokenizer = AutoTokenizer.from_pretrained("bertin-project/gromenauer-7B")
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  # Load the model
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- model = AutoModel.from_pretrained("bertin-project/gromenauer-7B")
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  # Example usage
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  text = "Introduce aquí tu texto en español."
 
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  # Gromenauer-7B
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  <div align=center>
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+ <img alt="gromenauer-7B logo" src="https://huggingface.co/bertin-project/Gromenauer-7B/resolve/main/images/gromenauer.png" width="200px">
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  </div>
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  ## Overview
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+ Gromenauer-7B is a Spanish language model designed to understand and generate high-quality Spanish text. Developed using the robust Mistral architecture, this model has been trained on an extensive literary corpus, ensuring it captures a wide range of linguistic nuances, styles, and contexts found in Spanish literature.## Model Details
 
 
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  - **Model Type**: Mistral
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  - **Sequence Length**: 8192
 
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  from transformers import AutoModel, AutoTokenizer
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  # Load the tokenizer
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+ tokenizer = AutoTokenizer.from_pretrained("bertin-project/Gromenauer-7B")
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  # Load the model
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+ model = AutoModel.from_pretrained("bertin-project/Gromenauer-7B")
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  # Example usage
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  text = "Introduce aquí tu texto en español."