t5-small-ov

This is the t5-small model converted to OpenVINO , for accellerated inference.

The model weights are compressed to FP16.

An example of how to do inference on this model, based on the T5 documentation :

from optimum.intel.openvino import OVModelForSeq2SeqLM
from transformers import AutoTokenizer, pipeline

model_id = "t5-small-ov"
model = OVModelForSeq2SeqLM.from_pretrained(model_id)
tokenizer = AutoTokenizer.from_pretrained(model_id)
input_ids = tokenizer("translate English to German: The house is wonderful.", return_tensors="pt").input_ids
outputs = model.generate(input_ids)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))