Translation
Transformers
PyTorch
TensorFlow
JAX
Safetensors
t5
text2text-generation
summarization
text-generation-inference
Instructions to use google-t5/t5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-t5/t5-large with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="google-t5/t5-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google-t5/t5-large") model = AutoModelForSeq2SeqLM.from_pretrained("google-t5/t5-large") - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
#21 opened 9 months ago
by
AiCoderv2
[QUESTION] How to skip the translation of some tokens?
#18 opened about 2 years ago
by
deepak-llm-art
Adds the tokenizer configuration file
#16 opened about 2 years ago
by
lysandre
Adding ONNX file of this model
#15 opened over 2 years ago
by
MaiAmin
[AUTOMATED] Model Memory Requirements
#14 opened over 2 years ago
by
model-sizer-bot
Add Core ML conversion
1
#11 opened almost 3 years ago
by
GuidoMarinelli
Determining probability of result when checking whether a premise and hypothesis are related
#8 opened over 3 years ago
by
Waqar-107
Add evaluation results on the 3.0.0 config of cnn_dailymail
#6 opened almost 4 years ago
by
autoevaluator
Add evaluation results on the 3.0.0 config of cnn_dailymail
#5 opened almost 4 years ago
by
autoevaluator
Add evaluation results on the 3.0.0 config of cnn_dailymail
#4 opened almost 4 years ago
by
autoevaluator
Add evaluation results on xsum dataset
#2 opened almost 4 years ago
by
autoevaluator
Optimize the summarization time
1
#1 opened almost 4 years ago
by
yassinr