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Put Transformers on Conda (#8918)

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* conda

* Guide

* correct tag

* Update README.md

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update docs/source/installation.md

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Sylvain's comments

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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Lysandre Debut
2020-12-03 14:28:49 -05:00
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@@ -12,9 +12,10 @@ must install it from source.
## Installation with pip
First you need to install one of, or both, TensorFlow 2.0 and PyTorch.
Please refer to [TensorFlow installation page](https://www.tensorflow.org/install/pip#tensorflow-2.0-rc-is-available)
and/or [PyTorch installation page](https://pytorch.org/get-started/locally/#start-locally) regarding the specific
install command for your platform.
Please refer to [TensorFlow installation page](https://www.tensorflow.org/install/pip#tensorflow-2.0-rc-is-available),
[PyTorch installation page](https://pytorch.org/get-started/locally/#start-locally) and/or
[Flax installation page](https://github.com/google/flax#quick-install)
regarding the specific install command for your platform.
When TensorFlow 2.0 and/or PyTorch has been installed, 🤗 Transformers can be installed using pip as follows:
@@ -34,6 +35,12 @@ or 🤗 Transformers and TensorFlow 2.0 in one line with:
pip install transformers[tf-cpu]
```
or 🤗 Transformers and Flax in one line with:
```bash
pip install transformers[flax]
```
To check 🤗 Transformers is properly installed, run the following command:
```bash
@@ -66,6 +73,19 @@ python -c "from transformers import pipeline; print(pipeline('sentiment-analysis
to check 🤗 Transformers is properly installed.
## With conda
Since Transformers version v4.0.0, we now have a conda channel: `huggingface`.
🤗 Transformers can be installed using conda as follows:
```
conda install -c huggingface transformers
```
Follow the installation pages of TensorFlow, PyTorch or Flax to see how to install them with conda.
## Caching models
This library provides pretrained models that will be downloaded and cached locally. Unless you specify a location with