Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-large-nl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-large-nl2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-large-nl2") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-large-nl2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 91 Bytes
8b1d1d2 | 1 2 3 4 5 6 7 8 9 | ---
tags:
- t5-new-success
---
# Test
Hf T5: -80.33845901489258
MTF T5: -80.3385238647461
|