Instructions to use cuongpp/bartpho-word-base-ed-multi-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuongpp/bartpho-word-base-ed-multi-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cuongpp/bartpho-word-base-ed-multi-v2") model = AutoModelForSeq2SeqLM.from_pretrained("cuongpp/bartpho-word-base-ed-multi-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from cuongpp/bartpho-word-base-ed-multi-v2: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/cuongpp/bartpho-word-base-ed-multi-v2/resolve/main/training_args.bin
- Command line
-
hf download hf://cuongpp/bartpho-word-base-ed-multi-v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cuongpp/bartpho-word-base-ed-multi-v2/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- fcdb3776d730c1eec285e94d7a538d5adb2afdc0707c826a9d99893e2b61aeaa
- Size of remote file:
- 5.3 kB
- SHA256:
- 3551c13c0b434e96d371af707c583de633c80ca926db231e0e08a500757554e4
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