Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny") - Notebooks
- Google Colab
- Kaggle
Commit ·
ce3faa3
1
Parent(s): fba4517
Upload checkpoint in Flax and TF
Browse files- tf_model.h5 +1 -1
- tokenizer.json +0 -0
tf_model.h5
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 62473720
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:27947b8cf3fc9d1d879752dfafacda9b8bdf6700ba7059a4b946307b534919ea
|
| 3 |
size 62473720
|
tokenizer.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|