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- [GeoV](https://huggingface.co/docs/transformers/model_doc/geov)-9B is a 20 billion parameter autoregressive language model.
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  The GeoV model was designed by Georges Harik and uses
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  [Rotary Positional Embeddings with Relative distances (RoPER)](http://research.labml.ai/RoPER.html)
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  ```python
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  >>> from transformers import GeoVForCausalLM, GeoVTokenizer
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- >>> model = GeoVForCausalLM.from_pretrained("GoeV/GeoV-9b")
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- >>> tokenizer = GeoVTokenizer.from_pretrained("GoeV/GeoV-9b")
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  >>> prompt = "In mathematics, topology is the study of"
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+ [GeoV](https://huggingface.co/docs/transformers/model_doc/geov)-9B is a 9 billion parameter autoregressive language model.
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  The GeoV model was designed by Georges Harik and uses
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  [Rotary Positional Embeddings with Relative distances (RoPER)](http://research.labml.ai/RoPER.html)
 
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  ```python
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  >>> from transformers import GeoVForCausalLM, GeoVTokenizer
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+ >>> model = GeoVForCausalLM.from_pretrained("GeoV/GeoV-9b")
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+ >>> tokenizer = GeoVTokenizer.from_pretrained("GeoV/GeoV-9b")
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  >>> prompt = "In mathematics, topology is the study of"
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