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 pytorch_model.bin from VietAI/envit5-translation: direct link, hf CLI and curl.
- Browser
- Download file 1.1 GB
-
https://huggingface.co/VietAI/envit5-translation/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://VietAI/envit5-translation/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/VietAI/envit5-translation/resolve/main/pytorch_model.bin
1.1 GB
- Xet hash:
- c56f84ea13550239e3196b04c957aa822a33c9bded63bc0b18d6697e381c53b7
- Size of remote file:
- 1.1 GB
- SHA256:
- eef48b3eee23aae577e965ce8da5b2e9dcadfc4d08a85e2a302ef4b929fb613e
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