docs: ✏️ add instructions
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README.md
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# Embedding Projector in TensorBoard
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This empty model repository only contains data to test the TensorBoard Embedding Projector. The data in [./logs/imdb-example](./logs/imdb-example) have been generated using the [notebook](https://colab.research.google.com/github/tensorflow/tensorboard/blob/master/docs/tensorboard_projector_plugin.ipynb) of the official documentation page ["Visualizing Data using the Embedding Projector in TensorBoard"](https://www.tensorflow.org/tensorboard/tensorboard_projector_plugin).
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# Embedding Projector in TensorBoard
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This empty model repository only contains data to test the TensorBoard Embedding Projector. The data in [./logs/imdb-example](./logs/imdb-example) have been generated using the [notebook](https://colab.research.google.com/github/tensorflow/tensorboard/blob/master/docs/tensorboard_projector_plugin.ipynb) of the official documentation page ["Visualizing Data using the Embedding Projector in TensorBoard"](https://www.tensorflow.org/tensorboard/tensorboard_projector_plugin).
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To see the Embedding Projector in a local Tensorboard (assuming Ubuntu):
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```bash
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git clone https://huggingface.co/severo/tensorboard-embedding-projector
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cd tensorboard-embedding-projector
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python3 -m venv .venv-2.8
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source .venv-2.8/bin/activate
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pip install tensorboard tensorflow
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tensorboard --logdir logs/imdb-example
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# access http://localhost:6006/#projector
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```
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Notes:
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- to see the projector in a local tensorboard instance, you have to point the `--logdir` argument specifically to the `logs/imdb-example` directory, as tensorboard does not succeed in looking for projector data recursively as it does for scalar data with `--logdir .`.
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- `tensorflow` must be installed, or the projector plugin will not be able to load these data.
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