Update README.md

README.md

@@ -53,6 +53,16 @@ library_name: transformers
 Below, you will find instructions and examples for using `ReaderLM-v2` locally using the Hugging Face Transformers library.
 For a more hands-on experience in a hosted environment, see the [Google Colab Notebook](https://colab.research.google.com/drive/1FfPjZwkMSocOLsEYH45B3B4NxDryKLGI?usp=sharing).
 
+## Via Reader API
+
+`ReaderLM-v2` is now fully integrated with [Reader API](https://jina.ai/reader/). To use it, simply specify `x-engine: readerlm-v2` in your request headers and enable response streaming with `-H 'Accept: text/event-stream'`:
+
+```bash
+curl https://r.jina.ai/https://news.ycombinator.com/ -H 'x-engine: readerlm-v2' -H 'Accept: text/event-stream'
+```
+
+You can try it without an API key at a lower rate limit. For higher rate limits, you can purchase an API key. Please note that ReaderLM-v2 requests consume 3x the normal token count from your API key allocation. This is currently an experimental feature, and we're working with the GCP team to improve GPU efficiency.
+
 ## On Google Colab
 
 The easiest way to experience `ReaderLM-v2` is through our [Colab notebook](https://colab.research.google.com/drive/1FfPjZwkMSocOLsEYH45B3B4NxDryKLGI?usp=sharing), which demonstrates HTML-to-markdown conversion, JSON extraction, and instruction-following using the HackerNews frontpage as an example. The notebook is optimized for Colab's free T4 GPU tier and requires `vllm` and `triton` for acceleration and running.