[doc] fix invalid env vars (#6504)
- remove invalid `ENV_` prefix. - add a few ':' while at it
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@@ -22,13 +22,13 @@ When TensorFlow 2.0 and/or PyTorch has been installed, 🤗 Transformers can be
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pip install transformers
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pip install transformers
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```
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```
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Alternatively, for CPU-support only, you can install 🤗 Transformers and PyTorch in one line with
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Alternatively, for CPU-support only, you can install 🤗 Transformers and PyTorch in one line with:
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```bash
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```bash
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pip install transformers[torch]
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pip install transformers[torch]
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```
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```
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or 🤗 Transformers and TensorFlow 2.0 in one line with
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or 🤗 Transformers and TensorFlow 2.0 in one line with:
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```bash
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```bash
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pip install transformers[tf-cpu]
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pip install transformers[tf-cpu]
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@@ -73,8 +73,8 @@ This library provides pretrained models that will be downloaded and cached local
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folder given by the shell environment variable ``TRANSFORMERS_CACHE``. The default value for it will be the PyTorch
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folder given by the shell environment variable ``TRANSFORMERS_CACHE``. The default value for it will be the PyTorch
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cache home followed by ``/transformers/`` (even if you don't have PyTorch installed). This is (by order of priority):
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cache home followed by ``/transformers/`` (even if you don't have PyTorch installed). This is (by order of priority):
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* shell environment variable ``ENV_TORCH_HOME``
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* shell environment variable ``TORCH_HOME``
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* shell environment variable ``ENV_XDG_CACHE_HOME`` + ``/torch/``
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* shell environment variable ``XDG_CACHE_HOME`` + ``/torch/``
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* default: ``~/.cache/torch/``
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* default: ``~/.cache/torch/``
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So if you don't have any specific environment variable set, the cache directory will be at
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So if you don't have any specific environment variable set, the cache directory will be at
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