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:
- e914c7ca92417166a788e6d8eb2bc80add586eab28929a977588efb7d99bf164
- Size of remote file:
- 990 MB
- SHA256:
- 2969d5ac933c327c57da0ced73b103fb0f1589981367125af0e1dd3775ee65a6
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