google
/

flan-t5-xxl

Text2Text Generation

Inference Endpoints

text-generation-inference

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ArthurZ HF staff commited on Jul 27, 2023

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@@ -216,7 +216,7 @@ The information below in this section are copied from the model's [official mode
 The model was trained on a mixture of tasks, that includes the tasks described in the table below (from the original paper, figure 2):
-![table.png](https://s3.amazonaws.com/moonup/production/uploads/1666363265279-62441d1d9fdefb55a0b7d12c.png)
 ## Training Procedure
@@ -233,7 +233,7 @@ The model has been trained on TPU v3 or TPU v4 pods, using [`t5x`](https://githu
 ## Testing Data, Factors & Metrics
 The authors evaluated the model on various tasks covering several languages (1836 in total). See the table below for some quantitative evaluation:
-![image.png](https://s3.amazonaws.com/moonup/production/uploads/1668072995230-62441d1d9fdefb55a0b7d12c.png)
 For full details, please check the [research paper](https://arxiv.org/pdf/2210.11416.pdf).
 ## Results

 The model was trained on a mixture of tasks, that includes the tasks described in the table below (from the original paper, figure 2):
+![table.png](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/flan_t5_tasks.png)
 ## Training Procedure
 ## Testing Data, Factors & Metrics
 The authors evaluated the model on various tasks covering several languages (1836 in total). See the table below for some quantitative evaluation:
+![image.png](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/flan_t5_evals_lang.png)
 For full details, please check the [research paper](https://arxiv.org/pdf/2210.11416.pdf).
 ## Results