Update README.md

README.md

@@ -3,10 +3,14 @@ datasets:
 - yuvalkirstain/summ_screen_fd_t5_lm
 - urialon/summ_screen_validation
 - urialon/summ_screen_test
+inference: false
+pipeline_tag: text2text-generation
 ---
 
 Model from the preprint [Unlimiformer: Long-Range Transformers with Unlimited Length Input](https://arxiv.org/abs/2305.01625).
 
 This model was finetuned from a BART-base model using Unlimiformer-aware early stopping, described in section 3.1 of the paper. It was finetuned on the dataset SummScreen using the data preprocessing pipeline from SLED; to load the validation or test set for use with these model, please use the datasets [urialon/summ_screen_validation](https://huggingface.co/datasets/urialon/summ_screen_validation) and [urialon/summ_screen_test](https://huggingface.co/datasets/urialon/summ_screen_test).
 
-This is generally a weaker model than the [retrieval-trained model](https://huggingface.co/abertsch/unlimiformer-bart-summscreen-retrieval) and a stronger model than the [baseline](https://huggingface.co/abertsch/bart-base-summscreen)
+This is generally a weaker model than the [retrieval-trained model](https://huggingface.co/abertsch/unlimiformer-bart-summscreen-retrieval) and a stronger model than the [baseline](https://huggingface.co/abertsch/bart-base-summscreen).
+
+*The inference demo is disabled because you must add the Unlimiformer files to your repo before this model can handle unlimited length input!* See the [Unlimiformer GitHub](https://github.com/abertsch72/unlimiformer) for setup instructions.