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:
- 7394c3e827a84b372e8dc2a66d1bc129f4ebc68b4fb0000ad39afec24d8344e8
- Size of remote file:
- 242 MB
- SHA256:
- ac0a0900983bfa60f18acc8b7d9fac9786da529aa129495017c10316e9b286d7
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