Instructions to use beevr/viet-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beevr/viet-t5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("beevr/viet-t5") model = AutoModelForSeq2SeqLM.from_pretrained("beevr/viet-t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from beevr/viet-t5: direct link, hf CLI and curl.
- Browser
- Download file 17.7 MB
-
https://huggingface.co/beevr/viet-t5/resolve/main/tokenizer.json
- Command line
-
hf download hf://beevr/viet-t5/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/beevr/viet-t5/resolve/main/tokenizer.json
17.7 MB
- Xet hash:
- de66b9faa98241ca18c8298186a8c6d3beec3b1db6295300bb98217ea69d394f
- Size of remote file:
- 17.7 MB
- SHA256:
- 983e6f66f0186837c9e633b31284ea325532a5fd2913da23efa282533065661a
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