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
- Xet hash:
- a8fae71fbcc69971c9ab4ddbb9be88273608b28aef3d98f18196d0182ee22642
- Size of remote file:
- 3.17 GB
- SHA256:
- 7280b94e09c9413d78d33f985255d29368cb7510e65a09b77b64fbc60f7ef5f6
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