update README

README.md

@@ -1,21 +1,25 @@
 # Sentence Transformers API
 
-OpenAI compatible embedding API that uses Sentence Transformer for embedding models
+OpenAI compatible embedding API that uses Sentence Transformer for embeddings
 
-Support the project by adding a star! ❤️
+Container Image: `ghcr.io/substratusai/sentence-transformers-api`
 
+Support the project by adding a star! ❤️  
 Join us on Discord:  
 <a href="https://discord.gg/JeXhcmjZVm">
 <img alt="discord-invite" src="https://dcbadge.vercel.app/api/server/JeXhcmjZVm?style=flat">
 </a>
 
-## Install (Docker)
+## Install
+There are 2 options to install: Docker or local Python install.
+
+### Install (Docker)
 Run the API locally using Docker:
-```
+```bash
 docker run -p 8080:8080 -d ghcr.io/substratusai/sentence-transformers-api
 ```
 
-## Install (Local python)
+### Install (Local python)
 Install and run the API server locally using Python. Only supports python 3.9, 3.10 and 3.11.
 
 Clone the repo:
@@ -30,12 +34,13 @@ pip3 install -r requirements.txt
 ```
 
 Run the webserver:
-```
+```bash
 uvicorn main:app --port 8080 --reload
 ```
 
 ## Usage
-Now you can visit the API docs on [http://localhost:8080/docs](http://localhost:8080/docs)
+After you've installed sentence-transformers-api,
+you can visit the API docs on [http://localhost:8080/docs](http://localhost:8080/docs)
 
 You can also use CURL to get embeddings:
 ```bash
@@ -57,12 +62,30 @@ embedding = openai.Embedding.create(input="Some text", model=model)["data"][0]["
 print(embedding)
 ```
 
+## Supported Models
+Any model that's supported by Sentence Transformers should also work as-is
+with Sentence Transformers API.
+Here is a list of [pre-trained models](https://www.sbert.net/docs/pretrained_models.html) available with Sentence Transformers.
+
+By default the `all-MiniLM-L6-v2` model is used and preloaded on startup. You
+can preload any supported model by setting the `MODEL` environment variable.
+
+For example, if you want to preload the `multi-qa-MiniLM-L6-cos-v1`, you
+could tweak the `docker run` command like this:
+```bash
+docker run -e MODEL=multi-qa-MiniLM-L6-cos-v1  -p 8080:8080 -d \
+  ghcr.io/substratusai/sentence-transformers-api
+```
+
+In addition to preloading models, you can also specify other models at runtime. A single
+API endpoint can serve multiple models in parallel.
+
 ## Integrations
 It's easy to utilize the embedding server with various other tools because
 the API is compatible with the OpenAI Embedding API.
 
 ### Weaviate
-TODO Write weaviate guide here
+TODO Write Weaviate guide here
 
 
 ## Creators