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 optimizer.pt from beevr/viet-t5: direct link, hf CLI and curl.
- Browser
- Download file 1.5 GB
-
https://huggingface.co/beevr/viet-t5/resolve/main/optimizer.pt
- Command line
-
hf download hf://beevr/viet-t5/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/beevr/viet-t5/resolve/main/optimizer.pt
1.5 GB
- Xet hash:
- 4d1464467b30f351b4c8cb1c55339332cdfb301bc3a24417b29538bb102a5454
- Size of remote file:
- 1.5 GB
- SHA256:
- 80fbd96538dc244432ef3e0dbcbf462cf1d3505bc5f4b34f44cb310178ec3a4e
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