Instructions to use cuongpp/bartpho-word-base-ed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuongpp/bartpho-word-base-ed with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cuongpp/bartpho-word-base-ed") model = AutoModelForSeq2SeqLM.from_pretrained("cuongpp/bartpho-word-base-ed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from cuongpp/bartpho-word-base-ed: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/cuongpp/bartpho-word-base-ed/resolve/main/training_args.bin
- Command line
-
hf download hf://cuongpp/bartpho-word-base-ed/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cuongpp/bartpho-word-base-ed/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- f6206ab2e704fe2950acb4712e829e0adf9fb115b7fadd27d1edb26e0c75344b
- Size of remote file:
- 5.3 kB
- SHA256:
- 4dd67f128e6186f86d2a8f9989730efd17aebb498de6d4f97c0dfb314db63fc8
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