Instructions to use eaten/codet5p-2b-finetuned-code-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eaten/codet5p-2b-finetuned-code-generation with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("eaten/codet5p-2b-finetuned-code-generation", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d491278b1db0bb20486f7dcb6d7b4b21ae3f4f3d98fe5f84647850662b80eec2
- Size of remote file:
- 6.45 GB
- SHA256:
- a8aca992e39adbcabf6181b1b283711e5c462d451bae72abb15f822d3dd1924b
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