Update README.md

README.md

@@ -6,7 +6,12 @@ model-index:
 - name: t5-small-generation-code-documentation
   results: []
 widget:
-- text: "def get_training_corpus(threshold=256): dataset_corpus = dataset['train'] for start_idx in range(0, len(dataset_corpus), 1000): samples = dataset_corpus[start_idx : start_idx + 1000] samples = [sample for sample in samples['func_code_tokens'] if len(sample) < threshold] yield samples"
+- text: >-
+    def get_training_corpus(threshold=256): dataset_corpus = dataset['train']
+    for start_idx in range(0, len(dataset_corpus), 1000): samples =
+    dataset_corpus[start_idx : start_idx + 1000] samples = [sample for sample in
+    samples['func_code_tokens'] if len(sample) < threshold] yield samples
+pipeline_tag: text2text-generation
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -58,4 +63,4 @@ The following hyperparameters were used during training:
 - Transformers 4.30.0
 - Pytorch 2.0.0
 - Datasets 2.1.0
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3