Instructions to use HillZhang/pseudo_native_bart_CGEC_thesis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HillZhang/pseudo_native_bart_CGEC_thesis with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HillZhang/pseudo_native_bart_CGEC_thesis") model = AutoModelForSeq2SeqLM.from_pretrained("HillZhang/pseudo_native_bart_CGEC_thesis") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4eb405dee1b414adc1a1bff1109a063087fc0b2b1d17070212fd07d4c02e8e67
- Size of remote file:
- 1.5 GB
- SHA256:
- 22f59d3d4f3dce6c5c3fd946e2dd996463df516445b65bb7d74e15950be6c68c
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