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Add GPT-J-6B notebook
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README.md

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@@ -41,6 +41,8 @@ Currently, it contains the following demos:
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- fine-tuning `LayoutLMv2ForQuestionAnswering` on DOCVQA [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv2/DocVQA/Fine_tuning_LayoutLMv2ForQuestionAnswering_on_DocVQA.ipynb)
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* CANINE ([paper](https://arxiv.org/abs/2103.06874)):
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- fine-tuning `CanineForSequenceClassification` on IMDb [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/NielsRogge/Transformers-Tutorials/blob/master/CANINE/Fine_tune_CANINE_on_IMDb_(movie_review_binary_classification).ipynb)
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* GPT-J-6B ([repository](https://github.com/kingoflolz/mesh-transformer-jax)):
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- performing inference with `GPTJForCausalLM` to illustrate few-shot learning and code generation [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/GPT-J-6B/Inference_with_GPT_J_6B.ipynb)
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... more to come! 🤗
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