Update README.md

Readme: update url to stable

README.md

@@ -28,7 +28,7 @@ Infinity is a high-throughput, low-latency REST API for serving vector embedding
 * **Fast inference backends**: The inference server is built on top of [torch](https://github.com/pytorch/pytorch), [optimum(onnx/tensorrt)](https://huggingface.co/docs/optimum/index) and [CTranslate2](https://github.com/OpenNMT/CTranslate2), using FlashAttention to get the most out of your **NVIDIA CUDA**, **AMD ROCM**, **CPU**, **AWS INF2** or **APPLE MPS** accelerator.
 * **Dynamic batching**: New embedding requests are queued while GPU is busy with the previous ones. New requests are squeezed intro your device as soon as ready. 
 * **Correct and tested implementation**: Unit and end-to-end tested. Embeddings via infinity are correctly embedded. Lets API users create embeddings till infinity and beyond.
-* **Easy to use**: The API is built on top of [FastAPI](https://fastapi.tiangolo.com/), [Swagger](https://swagger.io/) makes it fully documented. API are aligned to [OpenAI's Embedding specs](https://platform.openai.com/docs/guides/embeddings/what-are-embeddings). View the docs at [https://michaelfeil.eu/infinity](https://michaelfeil.eu/infinity) on how to get started.
+* **Easy to use**: The API is built on top of [FastAPI](https://fastapi.tiangolo.com/), [Swagger](https://swagger.io/) makes it fully documented. API are aligned to [OpenAI's Embedding specs](https://platform.openai.com/docs/guides/embeddings/what-are-embeddings). View the docs at [https:///michaelfeil.github.io/infinity](https:///michaelfeil.github.io/infinity) on how to get started.
 
 
 
@@ -37,7 +37,7 @@ Infinity is a high-throughput, low-latency REST API for serving vector embedding
 - [2024/06] Support for multi-modal: clip, text-classification & launch all arguments from env variables
 - [2024/05] launch multiple models using the `v2` cli, including `--api-key`
 - [2024/03] infinity supports experimental int8 (cpu/cuda) and fp8 (H100/MI300) support
-- [2024/03] Docs are online: https://michaelfeil.eu/infinity/latest/
+- [2024/03] Docs are online: https://michaelfeil.github.io/infinity/latest/
 - [2024/02] Community meetup at the [Run:AI Infra Club](https://discord.gg/7D4fbEgWjv)
 - [2024/01] TensorRT / ONNX inference
 - [2023/10] First release
@@ -301,7 +301,7 @@ Example models:
 </details>
 
 ## Documentation
-View the docs at [https://michaelfeil.eu/infinity](https://michaelfeil.eu/infinity) on how to get started.
+View the docs at [https:///michaelfeil.github.io/infinity](https://michaelfeil.github.io/infinity) on how to get started.
 After startup, the Swagger Ui will be available under `{url}:{port}/docs`, in this case `http://localhost:7997/docs`. You can also find a interactive preview here: https://infinity.modal.michaelfeil.eu/docs (and https://michaelfeil-infinity.hf.space/docs)
 
 ## Contribute and Develop