Update README.md

README.md

@@ -25,7 +25,25 @@ Fine-tuned on a synthetic dataset of curated long-context text and `GPT-3.5-turb
 
 Try it in [gradio demo](https://huggingface.co/spaces/pszemraj/document-summarization) | [.md with example outputs](evals-outputs/GAUNTLET.md) (gauntlet)
 
-## Model description
+## Usage 
+
+It's recommended to use this model with [beam search decoding](https://huggingface.co/docs/transformers/generation_strategies#beamsearch-decoding). If interested, you can also use the `textsum` [util repo](https://github.com/pszemraj/textsum) to have most of this abstracted out for you:
+
+```bash
+pip install -U textsum
+```
+
+```python
+from textsum.summarize import Summarizer
+
+model_name = "pszemraj/long-t5-tglobal-base-synthsumm_direct"
+summarizer = Summarizer(model_name) # GPU auto-detected
+text = "put the text you don't want to read here"
+summary = summarizer.summarize_string(text)
+print(summary)
+```
+
+## Details
 
 This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on the None dataset.
 It achieves the following results on the evaluation set: