Update README.md

README.md

@@ -8,9 +8,6 @@ tags:
 - gqa
 - t5
 - instruct
-model-index:
-- name: tFINE-680m-e32-d16-infinity_instruct-L1-infinity-instruct-7m-T2T_en-1024
-  results: []
 datasets:
 - pszemraj/infinity-instruct-7m-T2T_en
 pipeline_tag: text2text-generation
@@ -19,6 +16,8 @@ pipeline_tag: text2text-generation
 
 # tFINE-680m-e32-d16-infinity_instruct-L2
 
+this is an instruction-tuned version of a pretrained t5 with GQA.
+
 ## Model description
 
 This model is a fine-tuned version of [BEE-spoke-data/tFINE-680m-e32-d16-infinity_instruct-L1](https://huggingface.co/BEE-spoke-data/tFINE-680m-e32-d16-infinity_instruct-L1) on the pszemraj/infinity-instruct-7m-T2T_en dataset (config `deduped-L2`).
@@ -29,7 +28,7 @@ It achieves the following results on the evaluation set:
 
 ## usage
 
-prerequisite: you need to have t5-gqa fork of transformers installed, and accelerate.
+prerequisite: you need to have [t5-gqa fork of transformers installed](https://huggingface.co/BEE-spoke-data/tFINE-680m-e32-d16-gqa-flan#testing), and accelerate.
 
 ```py
 from transformers import pipeline