T5EncoderModel does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet

[SaKiEQ]

macOS Sequoia

Error when trying to use "sdpa" over "eager". Not sure if this is a platform specific error.
Tried running it with torch_device = "mps" and "cpu"

ValueError: T5EncoderModel does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: huggingface/transformers#28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument attn_implementation="eager" meanwhile. Example: model = AutoModel.from_pretrained("openai/whisper-tiny", attn_implementation="eager")

`
from parler_tts import ParlerTTSForConditionalGeneration
from transformers import AutoTokenizer, set_seed
import torch


torch_device = "mps" # use "mps" for Mac
torch_dtype = torch.bfloat16
model_name = "parler-tts/parler-tts-mini-v1"

attn_implementation = "sdpa" # "sdpa" or "flash_attention_2"

model = ParlerTTSForConditionalGeneration.from_pretrained(
    model_name,
    attn_implementation=attn_implementation
).to(torch_device, dtype=torch_dtype)
`