Instructions to use abhi11nav/GraphCodeBert-Moreepcohs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhi11nav/GraphCodeBert-Moreepcohs with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("abhi11nav/GraphCodeBert-Moreepcohs") model = AutoModelForSeq2SeqLM.from_pretrained("abhi11nav/GraphCodeBert-Moreepcohs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d66ac62d64949c7ec36036bf81fac80470c8ef1b8f1f190ae67066b3dcf2f61
- Size of remote file:
- 1.14 GB
- SHA256:
- 903e874c143aac5149e5728b4890cf454da9ddc3e0577abd568cfdbece9892b2
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