Instructions to use formermagic/codet5x-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use formermagic/codet5x-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("formermagic/codet5x-base") model = AutoModelForSeq2SeqLM.from_pretrained("formermagic/codet5x-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e64224aafaa35ac71af76aed2fd3dabcc046493677cef4c0ffe1eaa17c5f5a8
- Size of remote file:
- 990 MB
- SHA256:
- 2f6923ab477815c77bc5b784a5726a95342232c84e491cf46366bdcacf4ea328
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