Update README.md

README.md

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 # [bilingual-embedding-base](https://huggingface.co/Lajavaness/bilingual-embedding-base)
-This repo is a fork of the original [Lajavaness/bilingual-embedding-base](https://huggingface.co/Lajavaness/bilingual-embedding-base)
+This repo is a fork of the original [Lajavaness/bilingual-embedding-base](https://huggingface.co/Lajavaness/bilingual-embedding-base). The only difference is the model type name, to be compatible with text-embeddings-inference.
 
 Bilingual-embedding is the Embedding Model for bilingual language: french and english. This model is a specialized sentence-embedding trained specifically for the bilingual language, leveraging the robust capabilities of [XLM-RoBERTa](https://huggingface.co/FacebookAI/xlm-roberta-base), a pre-trained language model based on the [XLM-RoBERTa](https://huggingface.co/FacebookAI/xlm-roberta-base) architecture. The model utilizes xlm-roberta to encode english-french sentences into a 1024-dimensional vector space, facilitating a wide range of applications from semantic search to text clustering. The embeddings capture the nuanced meanings of english-french sentences, reflecting both the lexical and contextual layers of the language.