Instructions to use LifuWang/DistillT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LifuWang/DistillT5 with Transformers:
# Load model directly from transformers import AutoTokenizer, T5EncoderWithProjection tokenizer = AutoTokenizer.from_pretrained("LifuWang/DistillT5") model = T5EncoderWithProjection.from_pretrained("LifuWang/DistillT5") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -10,7 +10,7 @@ Official Repository of the paper: *[Scaling Down Text Encoders of Text-to-Image
|
|
| 10 |
Project Page: https://github.com/LifuWang-66/DistillT5.git
|
| 11 |
|
| 12 |
## Model Descriptions:
|
| 13 |
-
T5-Base distilled from [T5-XXL](https://huggingface.co/google/flan-t5-xxl) using [Flux](https://huggingface.co/
|
| 14 |
It is 50 times smaller and retains most capability of T5-XXL.
|
| 15 |
|
| 16 |
## Generation Results:
|
|
|
|
| 10 |
Project Page: https://github.com/LifuWang-66/DistillT5.git
|
| 11 |
|
| 12 |
## Model Descriptions:
|
| 13 |
+
T5-Base distilled from [T5-XXL](https://huggingface.co/google/flan-t5-xxl) using [Flux](https://huggingface.co/black-forest-labs/FLUX.1-dev).
|
| 14 |
It is 50 times smaller and retains most capability of T5-XXL.
|
| 15 |
|
| 16 |
## Generation Results:
|