Instructions to use cuongpp/bartpho-word-base-ed-multi-v3 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-v3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cuongpp/bartpho-word-base-ed-multi-v3") model = AutoModelForSeq2SeqLM.from_pretrained("cuongpp/bartpho-word-base-ed-multi-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33d065ecf47d0e49f3a5c967e18161437b81bb70510b57dc22375c33edd68d7c
- Size of remote file:
- 5.3 kB
- SHA256:
- 0c2c79eb0bfb80771dfca822d3762c2b5c47cc67b613a5240468397935144205
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