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Fix readme

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Tanay Soni 2020-05-05 10:50:18 +02:00
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@ -55,9 +55,9 @@ Components
Resources
=========
- Tutorial 1 - Basic QA Pipeline: `Jupyter notebook <https://github.com/deepset-ai/haystack/blob/master/tutorials/Tutorial1_Basic_QA_Pipeline.ipynb>`_ or `Colab <https://colab.research.google.com/github/deepset-ai/haystack/blob/master/tutorials/Tutorial1_Basic_QA_Pipeline.ipynb>`_
- Tutorial 2 - Fine-tuning a model on own data: `Jupyter notebook <https://github.com/deepset-ai/haystack/blob/master/tutorials/Tutorial2_Finetune_a_model_on_your_data.ipynb>`_ or `Colab <https://colab.research.google.com/github/deepset-ai/haystack/blob/master/tutorials/Tutorial2_Finetune_a_model_on_your_data.ipynb>`_
- Tutorial 3 - Basic QA Pipeline without Elasticsearch: `Jupyter notebook <https://github.com/deepset-ai/haystack/blob/master/tutorials/Tutorial3_Basic_QA_Pipeline_without_Elasticsearch.ipynb>`_ or `Colab <https://colab.research.google.com/github/deepset-ai/haystack/blob/master/tutorials/Tutorial3_Basic_QA_Pipeline_without_Elasticsearch.ipynb>`_
- Tutorial 1 - Basic QA Pipeline: `Jupyter notebook <https://github.com/deepset-ai/haystack/blob/master/tutorials/Tutorial1_Basic_QA_Pipeline.ipynb>`__ or `Colab <https://colab.research.google.com/github/deepset-ai/haystack/blob/master/tutorials/Tutorial1_Basic_QA_Pipeline.ipynb>`__
- Tutorial 2 - Fine-tuning a model on own data: `Jupyter notebook <https://github.com/deepset-ai/haystack/blob/master/tutorials/Tutorial2_Finetune_a_model_on_your_data.ipynb>`__ or `Colab <https://colab.research.google.com/github/deepset-ai/haystack/blob/master/tutorials/Tutorial2_Finetune_a_model_on_your_data.ipynb>`__
- Tutorial 3 - Basic QA Pipeline without Elasticsearch: `Jupyter notebook <https://github.com/deepset-ai/haystack/blob/master/tutorials/Tutorial3_Basic_QA_Pipeline_without_Elasticsearch.ipynb>`__ or `Colab <https://colab.research.google.com/github/deepset-ai/haystack/blob/master/tutorials/Tutorial3_Basic_QA_Pipeline_without_Elasticsearch.ipynb>`__
Quick Start
===========
@ -219,4 +219,5 @@ You will find the Swagger API documentation at http://127.0.0.1:80/docs
* Structure your work via organizations, projects, users
* Upload your documents or import labels from an existing SQuAD-style dataset
* Coming soon: more file formats for document upload, metrics for label quality ...
.. image:: https://raw.githubusercontent.com/deepset-ai/haystack/master/docs/img/annotation_tool.png