@@ -31,10 +31,6 @@ TensorFlowASR implements some automatic speech recognition architectures such as
3131 - [ Baselines] ( #baselines )
3232 - [ Publications] ( #publications )
3333- [ Installation] ( #installation )
34- - [ Installing from source (recommended)] ( #installing-from-source-recommended )
35- - [ Installing via PyPi] ( #installing-via-pypi )
36- - [ Installing for development] ( #installing-for-development )
37- - [ Running in a container] ( #running-in-a-container )
3834- [ Training \& Testing Tutorial] ( #training--testing-tutorial )
3935- [ Features Extraction] ( #features-extraction )
4036- [ Augmentations] ( #augmentations )
@@ -79,45 +75,13 @@ For training and testing, you should use `git clone` for installing necessary pa
7975
8076See the ` requirements.[extra].txt ` files for extra dependencies
8177
82- ### Installing from source (recommended)
83-
84- ``` bash
85- git clone https://github.com/TensorSpeech/TensorFlowASR.git
86- cd TensorFlowASR
87- pip3 install -e . # or ".[cuda]" if using GPU
88- ```
89-
90- For ** anaconda3** :
91-
92- ``` bash
93- conda create -y -n tfasr python=3.11 # tensorflow if using CPU, this makes sure conda install all dependencies for tensorflow
94- conda activate tfasr
95- git clone https://github.com/TensorSpeech/TensorFlowASR.git
96- cd TensorFlowASR
97- pip3 install -e . # or ".[cuda]" if using GPU
98- ```
99-
100- For ** colab with TPUs** :
101-
102- ``` bash
103- pip3 install -e " .[tpu]" -f https://storage.googleapis.com/libtpu-tf-releases/index.html
104- ```
105-
106- ### Installing via PyPi
107-
108- ``` bash
109- pip3 install " TensorFlowASR" # or "TensorFlowASR[cuda]" if using GPU
110- ```
111-
112- ### Installing for development
113-
11478``` bash
11579git clone https://github.com/TensorSpeech/TensorFlowASR.git
11680cd TensorFlowASR
117- pip3 install -e " . [apple, dev]"
81+ ./setup.sh [apple| tpu | gpu] [ dev]
11882```
11983
120- ### Running in a container
84+ ** Running in a container**
12185
12286``` bash
12387docker-compose up -d
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