Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-dm2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-dm2000 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-dm2000") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-dm2000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding generation config file(s)
eaf3d06
-
Upload README.md
28bab3b
-
Upload checkpoint in Flax and TF
cfae681
-
add PyTorch model and README
adae54e
-
Add config
3d778fc -
initial commit
526e65f