Update README.md

README.md

@@ -60,15 +60,11 @@ Example configuration:
 
 The following models are available for use with the `FlashRankMultipleChoiceSolver`:
 
-## Available Models
-
-The following models are available for use with the `FlashRankMultipleChoiceSolver`:
-
 | Model Name                   | Description                                                                                                   |
 |------------------------------|---------------------------------------------------------------------------------------------------------------|
 | ms-marco-TinyBERT-L-2-v2     | (default) [Model card](https://www.modelcards.com/ms-marco-TinyBERT-L-2-v2)                                     |
 | ms-marco-MiniLM-L-12-v2      | [Model card](https://www.modelcards.com/ms-marco-MiniLM-L-12-v2)                                               |
 | rank-T5-flan                 | Best non cross-encoder reranker [Model card](https://www.modelcards.com/rank-T5-flan)                          |
 | ms-marco-MultiBERT-L-12      | Multi-lingual, supports 100+ languages                                                                         |
 | ce-esci-MiniLM-L12-v2        | FT on Amazon ESCI dataset (This is interesting because most models are FT on MSFT MARCO Bing queries) [Model card](https://www.modelcards.com/ce-esci-MiniLM-L12-v2) |
-| rank_zephyr_7b_v1_full       | 4-bit-quantised GGUF [Model card](https://www.modelcards.com/rank_zephyr_7b_v1_full) (Offers very competitive performance, with large context window and relatively faster for a 4GB model) |
+| rank_zephyr_7b_v1_full       | 4-bit-quantised GGUF [Model card](https://www.modelcards.com/rank_zephyr_7b_v1_full) (Offers very competitive performance, with large context window and relatively faster for a 4GB model) |