Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-large-nh4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-large-nh4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-large-nh4") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-large-nh4") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
943b07e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:fa579b36d1436720909c59420e529598a2de4838219c9ea2b33e5b0ff0c26d96
size 2044721676
|