Update README.md

README.md

@@ -4,9 +4,9 @@ tags:
 - adapter-transformers
 ---
 
-# Adapter `leaBroe/Heavy2Light_adapter` for /ibmm_data2/oas_database/paired_lea_tmp/paired_model/BERT2GPT/model_checkpoints/full_PLAbDab_healthy_human_nucleus_bert2gpt_nucleus_healthy_human_PLAbDab_max_new_tokens_115_num_epochs_50_bert_like_tokenizer_unpaired_epo_41-7
+# Adapter `leaBroe/Heavy2Light_adapter` for the Heavy2Light EncoderDecoder Model
 
-An [adapter](https://adapterhub.ml) for the `/ibmm_data2/oas_database/paired_lea_tmp/paired_model/BERT2GPT/model_checkpoints/full_PLAbDab_healthy_human_nucleus_bert2gpt_nucleus_healthy_human_PLAbDab_max_new_tokens_115_num_epochs_50_bert_like_tokenizer_unpaired_epo_41-7` model that was trained on the None dataset.
+An [adapter](https://adapterhub.ml) for the `Heavy2Light EncoderDecoder Model (Encoder: HeavyBERTa, Decoder: LightGPT)` model that was trained with data from [OAS](https://opig.stats.ox.ac.uk/webapps/oas/) and [PLAbDab](https://opig.stats.ox.ac.uk/webapps/plabdab/).
 
 This adapter was created for usage with the **[Adapters](https://github.com/Adapter-Hub/adapters)** library.
 
@@ -23,7 +23,7 @@ Now, the adapter can be loaded and activated like this:
 ```python
 from adapters import AutoAdapterModel
 
-model = AutoAdapterModel.from_pretrained("/ibmm_data2/oas_database/paired_lea_tmp/paired_model/BERT2GPT/model_checkpoints/full_PLAbDab_healthy_human_nucleus_bert2gpt_nucleus_healthy_human_PLAbDab_max_new_tokens_115_num_epochs_50_bert_like_tokenizer_unpaired_epo_41-7")
+model = EncoderDecoderModel.from_pretrained("leaBroe/Heavy2Light")
 adapter_name = model.load_adapter("leaBroe/Heavy2Light_adapter", set_active=True)
 ```