Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-kv32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-kv32 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-kv32") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-kv32") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
750b361 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:4ad39f2b7a4e57d9298f467672e585f9e7004b10d03e88e7e2066af84a2d3213
size 722274904
|