Question Answering
Transformers
PyTorch
TensorFlow
JAX
Vietnamese
t5
text2text-generation
summarization
translation
text-generation-inference
Instructions to use VietAI/vit5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VietAI/vit5-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="VietAI/vit5-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("VietAI/vit5-large") model = AutoModelForSeq2SeqLM.from_pretrained("VietAI/vit5-large") - Notebooks
- Google Colab
- Kaggle
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README.md
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## How to use
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For more details, do check out [our Github repo](https://github.com/vietai/ViT5).
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```python
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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## How to use
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For more details, do check out [our Github repo](https://github.com/vietai/ViT5).
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[Finetunning Example can be found here](https://github.com/vietai/ViT5/tree/main/finetunning_huggingface).
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```python
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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