Instructions to use hungphongtrn/bartpho-syllable with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hungphongtrn/bartpho-syllable with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hungphongtrn/bartpho-syllable") model = AutoModelForSeq2SeqLM.from_pretrained("hungphongtrn/bartpho-syllable", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hungphongtrn/bartpho-syllable: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/hungphongtrn/bartpho-syllable/resolve/main/training_args.bin
- Command line
-
hf download hf://hungphongtrn/bartpho-syllable/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hungphongtrn/bartpho-syllable/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- fb2589c6e4b52c1f2da6a7100b3f7a5e5bbef222113405648f3e2a5e89dbcd34
- Size of remote file:
- 5.3 kB
- SHA256:
- 2ea36af6e2ead0ec9dcce057c82924bf610452605b707e4047b0065ddde576a3
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