Instructions to use EngineeringSoftware/EditsTranslation-cs2java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EngineeringSoftware/EditsTranslation-cs2java with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("EngineeringSoftware/EditsTranslation-cs2java") model = AutoModelForSeq2SeqLM.from_pretrained("EngineeringSoftware/EditsTranslation-cs2java") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebce3ba685823751feaf4f28f85cc76f0d80ddd9fe89abe36ee2f6caa21cf575
- Size of remote file:
- 892 MB
- SHA256:
- 47ab058ea1cd3c5f0b9d9894ac191929b3a6d5dc705f957c0a0231767efd30d4
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