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+*This model was published in HF papers on 2020-04-28 and contributed to Hugging Face Transformers on 2021-01-05.*
+
+# Blenderbot Small
+
+<div class="flex flex-wrap space-x-1">
+<img alt="FlashAttention" src="https://img.shields.io/badge/%E2%9A%A1%EF%B8%8E%20FlashAttention-eae0c8?style=flat">
+<img alt="SDPA" src="https://img.shields.io/badge/SDPA-DE3412?style=flat&logo=pytorch&logoColor=white">
+</div>
+
+Note that [`BlenderbotSmallModel`] and
+[`BlenderbotSmallForConditionalGeneration`] are only used in combination with the checkpoint
+[facebook/blenderbot-90M](https://huggingface.co/facebook/blenderbot-90M). Larger Blenderbot checkpoints should
+instead be used with [`BlenderbotModel`] and
+[`BlenderbotForConditionalGeneration`]
+
+## Overview
+
+The Blender chatbot model was proposed in [Recipes for building an open-domain chatbot](https://huggingface.co/papers/2004.13637) Stephen Roller, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu,
+Jing Xu, Myle Ott, Kurt Shuster, Eric M. Smith, Y-Lan Boureau, Jason Weston on 30 Apr 2020.
+
+The abstract of the paper is the following:
+
+*Building open-domain chatbots is a challenging area for machine learning research. While prior work has shown that
+scaling neural models in the number of parameters and the size of the data they are trained on gives improved results,
+we show that other ingredients are important for a high-performing chatbot. Good conversation requires a number of
+skills that an expert conversationalist blends in a seamless way: providing engaging talking points and listening to
+their partners, and displaying knowledge, empathy and personality appropriately, while maintaining a consistent
+persona. We show that large scale models can learn these skills when given appropriate training data and choice of
+generation strategy. We build variants of these recipes with 90M, 2.7B and 9.4B parameter models, and make our models
+and code publicly available. Human evaluations show our best models are superior to existing approaches in multi-turn
+dialogue in terms of engagingness and humanness measurements. We then discuss the limitations of this work by analyzing
+failure cases of our models.*
+
+This model was contributed by [patrickvonplaten](https://huggingface.co/patrickvonplaten). The authors' code can be
+found [here](https://github.com/facebookresearch/ParlAI).
+
+## Usage tips
+
+Blenderbot Small is a model with absolute position embeddings so it's usually advised to pad the inputs on the right rather than
+the left.
+
+## Resources
+
+- [Causal language modeling task guide](../tasks/language_modeling)
+- [Translation task guide](../tasks/translation)
+- [Summarization task guide](../tasks/summarization)
+
+## BlenderbotSmallConfig
+
+[[autodoc]] BlenderbotSmallConfig
+
+## BlenderbotSmallTokenizer
+
+[[autodoc]] BlenderbotSmallTokenizer
+    - get_special_tokens_mask
+    - save_vocabulary
+
+## BlenderbotSmallTokenizerFast
+
+[[autodoc]] BlenderbotSmallTokenizerFast
+
+## BlenderbotSmallModel
+
+[[autodoc]] BlenderbotSmallModel
+    - forward
+
+## BlenderbotSmallForConditionalGeneration
+
+[[autodoc]] BlenderbotSmallForConditionalGeneration
+    - forward
+
+## BlenderbotSmallForCausalLM
+
+[[autodoc]] BlenderbotSmallForCausalLM
+    - forward