Instructions to use h4iku/codet5-small-t5apr-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use h4iku/codet5-small-t5apr-java with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("h4iku/codet5-small-t5apr-java") model = AutoModelForSeq2SeqLM.from_pretrained("h4iku/codet5-small-t5apr-java", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3476839f16bf37f0242c481eb0e9470a0f0784de08a3e24959aa1c5d6da13348
- Size of remote file:
- 242 MB
- SHA256:
- 579ce58a5b12879193b20ed9e3d0e87d19a522c97b45d3f60ad622375042d0b3
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