Instructions to use voidful/bart-base-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/bart-base-chinese with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("voidful/bart-base-chinese") model = AutoModelForSeq2SeqLM.from_pretrained("voidful/bart-base-chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5e4ae7c4b14b440318f686e828510c6b3e3a8456b0556e2c8252e66ff372c8c
- Size of remote file:
- 712 MB
- SHA256:
- 8e4e41e3d55231f2532775dfb0283909ec9cbf5353d89b0b8a2f155aae96aee9
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