Instructions to use Cegil/code_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cegil/code_generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Cegil/code_generation") model = AutoModelForSeq2SeqLM.from_pretrained("Cegil/code_generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 523f2f2d32724e76709f5b8b2c5d555240943f0d66e80fad3f81a3a9e189e49d
- Size of remote file:
- 446 MB
- SHA256:
- 020d65d233f56b93eafde71af5e9d727ab97273f5e1683516172a8a079774400
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