Instructions to use formermagic/codet5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use formermagic/codet5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("formermagic/codet5-small") model = AutoModelForSeq2SeqLM.from_pretrained("formermagic/codet5-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1327cb16a933aa32d059169cf533d97b625dfbf47a69a7b3191bb10e95e05a07
- Size of remote file:
- 308 MB
- SHA256:
- 80ba8e5e2e94ba44fe036e80a04e9cd4ac3ebb9ebbdcca20326dbdedcb3623f9
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