remove hf-integration reference

vwxyzjn · vwxyzjn · Jan 12, 2023 · Oct 13, 2022 · Oct 13, 2022 · Oct 13, 2022
commit ba7053a4bfe96c5ae02a4398af0c5a4a5d913fde
diff --git a/README.md b/README.md
@@ -9,7 +9,7 @@
 [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
 [![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
 [<img src="https://img.shields.io/badge/%F0%9F%A4%97%20Models-Huggingface-F8D521">](https://huggingface.co/cleanrl)
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vwxyzjn/cleanrl/blob/hf-integration/docs/get-started/CleanRL_Huggingface_Integration_Demo.ipynb)
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vwxyzjn/cleanrl/blob/master/docs/get-started/CleanRL_Huggingface_Integration_Demo.ipynb)
 
 
 CleanRL is a Deep Reinforcement Learning library that provides high-quality single-file implementation with research-friendly features. The implementation is clean and simple, yet we can scale it to run thousands of experiments using AWS Batch. The highlight features of CleanRL are:

diff --git a/docs/get-started/CleanRL_Huggingface_Integration_Demo.ipynb b/docs/get-started/CleanRL_Huggingface_Integration_Demo.ipynb
@@ -19,7 +19,7 @@
         "[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)\n",
         "[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)\n",
         "[<img src=\"https://img.shields.io/badge/%F0%9F%A4%97%20Models-Huggingface-F8D521\">](https://huggingface.co/cleanrl)\n",
-        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vwxyzjn/cleanrl/blob/hf-integration/docs/get-started/CleanRL_Huggingface_Integration_Demo.ipynb)\n",
+        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vwxyzjn/cleanrl/blob/master/docs/get-started/CleanRL_Huggingface_Integration_Demo.ipynb)\n",
         "\n",
         "\n",
         "CleanRL is a Deep Reinforcement Learning library that provides high-quality single-file implementation with research-friendly features. It now has has 🧪 experimental support for saving and loading models from 🤗 HuggingFace's [Model Hub](https://huggingface.co/models). This notebook is a preliminary demo.\n",
@@ -383,7 +383,7 @@
       "source": [
         "## Diving Deeper\n",
         "\n",
-        "What happened above was achieved by a simple wrapper for [cleanrl_utils/evals/dqn_eval.py](https://github.com/vwxyzjn/cleanrl/blob/hf-integration/cleanrl_utils/evals/dqn_eval.py), which is pretty succinct and may give you a more fine-grained control and access to the model. Its content is roughly as follows, where it attempts to download a model from https://huggingface.co/cleanrl/BreakoutNoFrameskip-v4-dqn_atari_jax-seed1 and run an evaluation pass. "
+        "What happened above was achieved by a simple wrapper for [cleanrl_utils/evals/dqn_eval.py](https://github.com/vwxyzjn/cleanrl/blob/master/cleanrl_utils/evals/dqn_eval.py), which is pretty succinct and may give you a more fine-grained control and access to the model. Its content is roughly as follows, where it attempts to download a model from https://huggingface.co/cleanrl/BreakoutNoFrameskip-v4-dqn_atari_jax-seed1 and run an evaluation pass. "
       ]
     },
     {

diff --git a/docs/get-started/zoo.md b/docs/get-started/zoo.md
@@ -1,7 +1,7 @@
 # 🤗 Model Zoo
 
 [<img src="https://img.shields.io/badge/%F0%9F%A4%97%20Models-Huggingface-F8D521">](https://huggingface.co/cleanrl)
-[![Open In Colab](https://github.com/vwxyzjn/cleanrl/raw/hf-integration/docs/get-started/colab-badge.svg)](https://colab.research.google.com/github/vwxyzjn/cleanrl/blob/hf-integration/docs/get-started/CleanRL_Huggingface_Integration_Demo.ipynb)
+[![Open In Colab](https://github.com/vwxyzjn/cleanrl/raw/master/docs/get-started/colab-badge.svg)](https://colab.research.google.com/github/vwxyzjn/cleanrl/blob/master/docs/get-started/CleanRL_Huggingface_Integration_Demo.ipynb)
 
 CleanRL now has 🧪 experimental support for saving and loading models from 🤗 HuggingFace's [Model Hub](https://huggingface.co/models). We are rolling out this feature in phases, and currently only support saving and loading models from the following algorithm varaints:
 
@@ -39,7 +39,7 @@ To see a list of supported models, please visit 🤗 [https://huggingface.co/cle
 
 ???+ info "What happens under the hood?"
 
-    The `cleanrl_utils.enjoy` is a simple wrapper to load the models from the hub and run them in an environment. A minimal version of the script can be found at [cleanrl_utils/evals/dqn_eval.py](https://github.com/vwxyzjn/cleanrl/blob/hf-integration/cleanrl_utils/evals/dqn_eval.py), which may give you a more fine-grained control and access to the model.
+    The `cleanrl_utils.enjoy` is a simple wrapper to load the models from the hub and run them in an environment. A minimal version of the script can be found at [cleanrl_utils/evals/dqn_eval.py](https://github.com/vwxyzjn/cleanrl/blob/master/cleanrl_utils/evals/dqn_eval.py), which may give you a more fine-grained control and access to the model.
 
     <script src="https://emgithub.amrom.workers.dev/embed-v2.js?target=https%3A%2F%2Fgithub.amrom.workers.dev%2Fvwxyzjn%2Fcleanrl%2Fblob%2Fmaster%2Fcleanrl_utils%2Fevals%2Fdqn_eval.py&style=github&type=code&showBorder=on&showLineNumbers=on&showFileMeta=on&showFullPath=on&showCopy=on"></script>
 

diff --git a/docs/index.md b/docs/index.md
@@ -9,7 +9,7 @@
 [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
 [![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
 [<img src="https://img.shields.io/badge/%F0%9F%A4%97%20Models-Huggingface-F8D521">](https://huggingface.co/cleanrl)
-[![Open In Colab](https://github.com/vwxyzjn/cleanrl/raw/hf-integration/docs/get-started/colab-badge.svg)](https://colab.research.google.com/github/vwxyzjn/cleanrl/blob/hf-integration/docs/get-started/CleanRL_Huggingface_Integration_Demo.ipynb)
+[![Open In Colab](https://github.com/vwxyzjn/cleanrl/raw/master/docs/get-started/colab-badge.svg)](https://colab.research.google.com/github/vwxyzjn/cleanrl/blob/master/docs/get-started/CleanRL_Huggingface_Integration_Demo.ipynb)
 
 <!-- ## Overview -->