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t5-small-ov
helenai/t5-small-ov
t5-small-ov is a machine learning model from helenai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This is the t5-small model converted to OpenVINO, for accellerated inference.
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Mar 11, 2023
- Updated
- Mar 11, 2023
- SHA
- 38c6e86c
Model card
From the Hugging Face model README
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))
- Library
- transformers
- Type
- t5
- Languages
- en
- Created
- Mar 11, 2023
- Updated
- Mar 11, 2023