Edited README.md

README.md

@@ -21,6 +21,10 @@ distance-aware relative position encodings. Two classes are available:
 The model is pretrained on multi-task regression tasks, including quantum chemistry (QC) tasks
 from the [PubChemQC B3LYP/PM6 dataset](https://nakatamaho.riken.jp/pubchemqc.riken.jp/b3lyp_pm6_datasets.html).
 
+## Requirements
+
+**This model was tested and implemented with Transformers version 4.51.3, so issues might appear in other versions.**
+
 ## Usage
 
 ```python

modeling_m5_encoder.py

@@ -12,7 +12,6 @@ from transformers.cache_utils import DynamicCache, EncoderDecoderCache
 from transformers.models.t5.configuration_t5 import T5Config
 from transformers.modeling_outputs import BaseModelOutputWithPastAndCrossAttentions, BaseModelOutput
 from transformers.utils import DUMMY_INPUTS, DUMMY_MASK, is_torch_fx_proxy, is_torchdynamo_compiling
-from transformers.modeling_outputs import BaseModelOutputWithPastAndCrossAttentions, BaseModelOutput
 from transformers.utils.deprecation import deprecate_kwarg
 from .common import M5Pooler
 from .prepare_data import get_positional_encodings_and_align