Instructions to use Jiyang/EditModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jiyang/EditModel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jiyang/EditModel") model = AutoModelForSeq2SeqLM.from_pretrained("Jiyang/EditModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06a6358d2b527e94a9649e6063e129fd6fcb221e722272e7ce6f83e203baeac8
- Size of remote file:
- 892 MB
- SHA256:
- d4ac19a6dd92536818588e2bab8aa6998846b77fc9e1a5e3820b50fb0eeafe50
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