Instructions to use formermagic/codet5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use formermagic/codet5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("formermagic/codet5-large") model = AutoModelForSeq2SeqLM.from_pretrained("formermagic/codet5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ace2ab64f9823737c9d20966fb8daafab67cfb43b37b5903d794cfd5bdaee1c
- Size of remote file:
- 3.13 GB
- SHA256:
- 0eba2183ccd1bc59ccddde400805017a3870d3ecc9ee0cb5100d9dcbb57a8fb1
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