Update readme load older model info

README.md

@@ -68,6 +68,20 @@ embeddings = model.encode(sentences)
 print(embeddings)
 ```
 
+### Loading an older model version (Sentence-Transformers)
+
+Currently, the easiest way to load an older model version is to clone the model repository and load it from disk. For example, to clone the **v1.0** model:
+
+```bash
+git clone --depth 1 --branch v1.0 https://huggingface.co/KBLab/sentence-bert-swedish-cased
+```
+
+Then you can load the model by pointing to the local folder where you cloned the model:
+
+```python
+from sentence_transformers import SentenceTransformer
+model = SentenceTransformer("path_to_model_folder/sentence-bert-swedish-cased")
+```
 
 
 ## Usage (HuggingFace Transformers)
@@ -107,7 +121,14 @@ print("Sentence embeddings:")
 print(sentence_embeddings)
 ```
 
-To load an older model specify the version tag with the `revision` arg: `AutoTokenizer.from_pretrained('KBLab/sentence-bert-swedish-cased', revision="v1.0")`.
+### Loading an older model (Hugginfface Transformers)
+
+To load an older model specify the version tag with the `revision` arg. For example, to load the **v1.0** model, use the following code: 
+
+```python
+AutoTokenizer.from_pretrained('KBLab/sentence-bert-swedish-cased', revision="v1.0")
+AutoModel.from_pretrained('KBLab/sentence-bert-swedish-cased', revision="v1.0")
+```
 
 ## Evaluation Results