Translation
Transformers
PyTorch
TensorFlow
JAX
Rust
Safetensors
t5
text2text-generation
summarization
text-generation-inference
Instructions to use google-t5/t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-t5/t5-base 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-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google-t5/t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("google-t5/t5-base") - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
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by iamsomeonewhowwantstocode - opened
README.md
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@@ -153,6 +153,7 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
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number = {140},
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pages = {1-67},
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url = {http://jmlr.org/papers/v21/20-074.html}
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}
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```
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number = {140},
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pages = {1-67},
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url = {http://jmlr.org/papers/v21/20-074.html}
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MIGHT CONTAIN A VIRUS
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}
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```
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