Update README.md

README.md

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 *Brahe* is an analytical LLM for multilingual literature fine-tuned from llama-13B. Given any text, Brahe will generate a list of potentially twenty annotations. Brahe is intended to be used by computational humanities project, similarly to BookNLP.
 
-*Brahe* has been trained on 8,000 excerpts of literature in the public domain and on a set of synthetic and manual annotations. Half of the excerpts are in English and half in other languages (mostly French, German, Italian…).
+*Brahe* has been trained on.Jean Zay (compute plan AD011014736) on 8,000 excerpts of literature in the public domain and on a set of synthetic and manual annotations. Half of the excerpts are in English and half in other languages (mostly French, German, Italian…).
 
 Thanks to the native multilinual capacity of llama-13B, *Brahe* has been proven to work on languages that were not part of its original corpus, such as the Gascon variety of Occitan.
 
 *Brahe* is a reversed companion of *[Epstein](https://huggingface.co/Pclanglais/epstein)*, a generative AI model to create new literary texts by submitting annotated prompts (for now in English-only). Both models are named after the protagonists of the philosophical novel of Daniele del Giudice, *Atlante occidentale*. Brahe is a scientist working at the CERN on quantum physics, Epstein is a novelist and they both confront their different views of reality.
 
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 ## Running Brahe
 
 The best way to test Brahe is to use the [official demo](https://colab.research.google.com/drive/1asOBSChi56V2U1HOvKwN-Ilqfct8gXlR?usp=sharing) on Google Colab.