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@@ -68,7 +68,7 @@ tags:
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  datasets:
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  - svakulenk0/qrecc
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  - taskmaster2
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- - djaym7/wiki_dialog
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  - deepmind/code_contests
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  - lambada
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  - gsm8k
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  - quasc
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  - qed
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  license: apache-2.0
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  ---
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@@ -309,30 +310,4 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
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  # Model Card Authors
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- This model card was written by the team at Hugging Face.
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-
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- # How to Get Started with the Model
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-
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- Use the code below to get started with the model.
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-
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- <details>
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- <summary> Click to expand </summary>
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-
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- ```python
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- from transformers import T5Tokenizer, T5Model
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-
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- tokenizer = T5Tokenizer.from_pretrained("t5-base")
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- model = T5Model.from_pretrained("t5-base")
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-
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- input_ids = tokenizer(
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- "Studies have been shown that owning a dog is good for you", return_tensors="pt"
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- ).input_ids # Batch size 1
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- decoder_input_ids = tokenizer("Studies show that", return_tensors="pt").input_ids # Batch size 1
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-
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- # forward pass
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- outputs = model(input_ids=input_ids, decoder_input_ids=decoder_input_ids)
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- last_hidden_states = outputs.last_hidden_state
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- ```
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-
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- See the [Hugging Face T5](https://huggingface.co/docs/transformers/model_doc/t5#transformers.T5Model) docs and a [Colab Notebook](https://colab.research.google.com/github/google-research/text-to-text-transfer-transformer/blob/main/notebooks/t5-trivia.ipynb) created by the model developers for more examples.
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- </details>
 
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  datasets:
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  - svakulenk0/qrecc
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  - taskmaster2
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+ - djaym7/wiki_dialog
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  - deepmind/code_contests
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  - lambada
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  - gsm8k
 
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  - quasc
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  - qed
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+
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  license: apache-2.0
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  ---
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  # Model Card Authors
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+ This model card was written by the team at Hugging Face.