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README.md
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[GeoV](https://huggingface.co/docs/transformers/model_doc/geov)-9B is a
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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("
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>>> tokenizer = GeoVTokenizer.from_pretrained("
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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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