Update README.md

README.md

@@ -6,4 +6,23 @@ Herberta Pretrain model  experimental research model developed by the Angelpro T
 We hope it can be used:
   - Encoder for Herbal Formulas, Embedding Models
   - Word Embedding Model for Chinese Medicine Domain Data
-  - Support for a wide range of downstream TCM tasks, e.g., classification tasks, labeling tasks, etc.
+  - Support for a wide range of downstream TCM tasks, e.g., classification tasks, labeling tasks, etc.
+
+### requirements
+```bash
+pip install herberta
+
+###  Quickstart
+```python
+from herberta.embedding import TextToEmbedding
+
+# Initialize the embedding model
+embedder = TextToEmbedding("path/to/your/model")
+
+# Single text input
+embedding = embedder.get_embeddings("This is a sample text.")
+
+# Multiple text input
+texts = ["This is a sample text.", "Another example."]
+embeddings = embedder.get_embeddings(texts)
+```