Model card for the public release

README.md

@@ -295,10 +295,10 @@ Precision, recall (sensitivity), F1 and specificity for every language and syste
 
 ## Quick start
 
-Install the `millid` package, with ONNX Runtime for the CPU (`[gpu]` for CUDA):
+Install [`millid`](https://pypi.org/project/millid/) from PyPI, with ONNX Runtime for the CPU (`[gpu]` for CUDA):
 
 ```bash
-pip install "millid[cpu] @ git+https://github.com/baobab-tech/millid.git"
+pip install "millid[cpu]"
 ```
 
 Identify a passage, several, or a whole document:
@@ -319,10 +319,14 @@ From the command line:
 millid predict "Lave men ou ak savon anvan ou manje." --model baobabtech/millid-medium-v1 -k 3
 ```
 
-In JavaScript, in Node or a browser (`js/` in [baobab-tech/millid](https://github.com/baobab-tech/millid); not on npm yet):
+In JavaScript, in Node or a browser, with [`@baobabtechai/millid`](https://www.npmjs.com/package/@baobabtechai/millid) from npm:
+
+```bash
+npm install @baobabtechai/millid onnxruntime-node   # onnxruntime-web in a browser app
+```
 
 ```js
-import { MillID } from "@baobabtech/millid";   // "@baobabtech/millid/web" in a browser, with { ort }
+import { MillID } from "@baobabtechai/millid";   // "@baobabtechai/millid/web" in a browser, with { ort }
 const model = await MillID.fromPretrained("baobabtech/millid-medium-v1");
 await model.predict("Lave men ou ak savon anvan ou manje.", 3);
 ```