Instructions to use HillZhang/pseudo_native_bart_CGEC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HillZhang/pseudo_native_bart_CGEC with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HillZhang/pseudo_native_bart_CGEC") model = AutoModelForSeq2SeqLM.from_pretrained("HillZhang/pseudo_native_bart_CGEC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b510b7c453b41430729d4a934eda7ff384731ce7f747eb1830d299dad6df1d7c
- Size of remote file:
- 1.5 GB
- SHA256:
- a6272627867d55d96f6c3cd66361a6bf83712b2dc99607c9f94bbc1f333dbbfa
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