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 bpe.codes from cuongpp/bartpho-word-base-ed-multi-v2: direct link, hf CLI and curl.
- Browser
- Download file 1.14 MB
-
https://huggingface.co/cuongpp/bartpho-word-base-ed-multi-v2/resolve/main/bpe.codes
- Command line
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hf download hf://cuongpp/bartpho-word-base-ed-multi-v2/bpe.codes
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curl -L -o bpe.codes https://huggingface.co/cuongpp/bartpho-word-base-ed-multi-v2/resolve/main/bpe.codes
1.14 MB
File too large to display, you can check the raw version instead.