Instructions to use h4iku/codet5-small-t5apr-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use h4iku/codet5-small-t5apr-python with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("h4iku/codet5-small-t5apr-python") model = AutoModelForSeq2SeqLM.from_pretrained("h4iku/codet5-small-t5apr-python", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3da7e4b7515c1cad2a048269224fa31080e7f72b289c965c66fd4eccfd48bd04
- Size of remote file:
- 3.31 kB
- SHA256:
- 342a547f9925faf100ac723299d281611ec346c7cf975f850ef27c943ad549a2
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