Instructions to use formermagic/codet5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use formermagic/codet5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("formermagic/codet5-base") model = AutoModelForSeq2SeqLM.from_pretrained("formermagic/codet5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59316a779b9fbc3295ada440bdf385ec250ec3a0307917ff712162a68162a794
- Size of remote file:
- 990 MB
- SHA256:
- 4d2faf1ab7539cdff57db8028dd889f7f7caa54406c69b321d77a8a12aa1b616
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