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@@ -87,6 +87,10 @@ datasets:
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  ---
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  # Model Card
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  ```python3
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  from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, pipeline
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@@ -98,7 +102,5 @@ inputs = ["In this paper, we delve into advanced techniques and methods in Natur
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  print(pipe(inputs, max_length=512, do_sample=False))
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  ```
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- [Add more information here](https://huggingface.co/templates/model-card-example)
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-
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  ---
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  This model was trained with a synthetic dataset with [DataDreamer 🤖💤](https://datadreamer.dev). The synthetic dataset card and model card can be found [here](datadreamer.json). The training arguments can be found [here](training_args.json).
 
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  # Model Card
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+ This is an "Abstract to Tweet" model that crafts a tweet summarizing a research paper abstract trained on a [synthetic dataset of arXiv abstracts and tweets](https://huggingface.co/datasets/datadreamer-dev/abstracts_and_tweets/). It is used as a demonstration of the [DataDreamer 🤖💤 library](https://datadreamer.dev/docs/latest/).
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+ ## Example Usage
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  ```python3
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  from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, pipeline
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  print(pipe(inputs, max_length=512, do_sample=False))
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  ```
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  ---
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  This model was trained with a synthetic dataset with [DataDreamer 🤖💤](https://datadreamer.dev). The synthetic dataset card and model card can be found [here](datadreamer.json). The training arguments can be found [here](training_args.json).