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
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:020d65d233f56b93eafde71af5e9d727ab97273f5e1683516172a8a079774400
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size 445800957
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