doc: simplify installation instructions

README.md

@@ -24,23 +24,11 @@ Refer to [our report](https://wandb.ai/dalle-mini/dalle-mini/reports/DALL-E-mini
 
 ## Development
 
-This section is for the adventurous people wanting to look into the code.
-
 ### Dependencies Installation
 
 The root folder and associated `requirements.txt` is only for the app.
 
-You will find necessary requirements in each sub-section.
-
-You should create a new python virtual environment and install the project dependencies inside the virtual env. You need to use the `-f` (`--find-links`) option for `pip` to be able to find the appropriate `libtpu` required for the TPU hardware.
-
-Adapt the installation to your own hardware and follow library installation instructions.
-
-```
-$ pip install -r requirements.txt -f https://storage.googleapis.com/jax-releases/libtpu_releases.html
-```
-
-If you use `conda`, you can create the virtual env and install everything using: `conda env update -f environments.yaml`
+For development, use ['dev/requirements.txt`](dev/requirements.txt) or ['dev/environment.yaml`](dev/environment.yaml).
 
 ### Training of VQGAN
 

dev/seq2seq/requirements.txt

@@ -1,15 +0,0 @@
-# Note: install with the following command:
-# pip install -r requirements.txt -f https://storage.googleapis.com/jax-releases/libtpu_releases.html
-# Otherwise it won't find the appropriate libtpu_nightly
-requests
-jax[tpu]>=0.2.16
--e git+https://github.com/huggingface/transformers.git@master#egg=transformers
--e git+https://github.com/huggingface/datasets.git@master#egg=datasets
-flax
-jupyter
-wandb
-nltk
-optax
-
-# Inference
-ftfy