Instructions to use EngineeringSoftware/EditsTranlation-java2cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EngineeringSoftware/EditsTranlation-java2cs with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("EngineeringSoftware/EditsTranlation-java2cs") model = AutoModelForSeq2SeqLM.from_pretrained("EngineeringSoftware/EditsTranlation-java2cs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4506fa78364392085fc481d8040761d5ea389cb25ac12da9df1f057483b40831
- Size of remote file:
- 892 MB
- SHA256:
- 7efcfe67ad4e03e4e968f71fcd1db3184ae3dfb72f3550f5d2f1423fc5525bcb
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