Update README.md

README.md

@@ -10,6 +10,9 @@ language:
 
 # SPECTER2 Base
 
+**Dec 2023 Update:**
+
+Model usage updated to be compatible with latest versions of transformers and adapters (newly released update to adapter-transformers) libraries.
 
 **Aug 2023 Update:**
 1. **The SPECTER2 Base and proximity adapter models have been renamed in Hugging Face based upon usage patterns as follows:**
@@ -25,7 +28,7 @@ language:
 
 An [adapter](https://adapterhub.ml) for the [allenai/specter2_base](https://huggingface.co/allenai/specter2_base) model that was trained on the [allenai/scirepeval](https://huggingface.co/datasets/allenai/scirepeval/) dataset.
 
-This adapter was created for usage with the **[adapter-transformers](https://github.com/Adapter-Hub/adapter-transformers)** library.
+This adapter was created for usage with the **[adapters](https://github.com/adapter-hub/adapters)** library.
 
 ## SPECTER2
 
@@ -87,13 +90,14 @@ It builds on the work done in [SciRepEval: A Multi-Format Benchmark for Scientif
 *Proximity model should suffice for downstream task types not mentioned above
 
 ```python
-from transformers import AutoTokenizer, AutoModel
+from transformers import AutoTokenizer
+from adapters import AutoAdapterModel
 
 # load model and tokenizer
 tokenizer = AutoTokenizer.from_pretrained('allenai/specter2_base')
 
 #load base model
-model = AutoModel.from_pretrained('allenai/specter2_base')
+model = AutoAdapterModel.from_pretrained('allenai/specter2_base')
 
 #load the adapter(s) as per the required task, provide an identifier for the adapter in load_as argument and activate it
 model.load_adapter("allenai/specter2", source="hf", load_as="proximity", set_active=True)