T5 Encoder Model and T5 Model: Graph Mode and Pynative Mode

[wcrzlh]

What does this PR do?

This pr is proposed to add T5 Encoder Model and T5Model. They are tested both in graph mode and pynative mode. Google/T5-small and DeepFloyd/T5-v1.1_xxl have been supported.

The T5Model could be utilized conveniently by the following command:

from mindone.transformers.models import T5Model, T5EncoderModel model = T5Model.from_pretrained("Google/T5-small") encoder_model = T5EncoderModel.from_pretrained("DeepFloyd/t5-v1_1-xxl")

Additionally, the feature of loading more than one safe tensors file has beed added.

Fixes # (issue)

Adds # (feature)

Before submitting

• [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
• [x] Did you read the contributor guideline?
• [ ] Did you make sure to update the documentation with your changes? E.g. record bug fixes or new features in What's New. Here are the documentation guidelines
• [x] Did you build and run the code without any errors?
• [ ] Did you report the running environment (NPU type/MS version) and performance in the doc? (better record it for data loading, model inference, or training tasks)
• [ ] Did you write any new necessary tests?

Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag members/contributors who may be interested in your PR.

@xxx