Question Answering
Transformers
PyTorch
TensorFlow
JAX
Vietnamese
t5
text2text-generation
summarization
translation
text-generation-inference
Instructions to use VietAI/envit5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VietAI/envit5-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="VietAI/envit5-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("VietAI/envit5-base") model = AutoModelForSeq2SeqLM.from_pretrained("VietAI/envit5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15b6946ddb122e8b89076bf07693522d9f7879dab9b77c46e3480dcf31bfcf1b
- Size of remote file:
- 1.1 MB
- SHA256:
- 3b4eda923bbac1726e8fda66254a8783ecc705be5577149ee8c98074efdb5de5
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