Translation
Transformers
PyTorch
TensorFlow
JAX
Vietnamese
English
t5
text2text-generation
text-generation-inference
Instructions to use VietAI/envit5-translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VietAI/envit5-translation 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="VietAI/envit5-translation")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("VietAI/envit5-translation") model = AutoModelForSeq2SeqLM.from_pretrained("VietAI/envit5-translation", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from VietAI/envit5-translation: direct link, hf CLI and curl.
- Browser
- Download file 3.49 MB
-
https://huggingface.co/VietAI/envit5-translation/resolve/main/tokenizer.json
- Command line
-
hf download hf://VietAI/envit5-translation/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/VietAI/envit5-translation/resolve/main/tokenizer.json
3.49 MB
File too large to display, you can check the raw version instead.