Instructions to use sharoz/codet5-small-custom-functions-dataset-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sharoz/codet5-small-custom-functions-dataset-python with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("sharoz/codet5-small-custom-functions-dataset-python") model = AutoModelForMultimodalLM.from_pretrained("sharoz/codet5-small-custom-functions-dataset-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11686bef541b9957d5ef4b91610f68e6484cfd805f1721faafa36f286d8cd9ab
- Size of remote file:
- 3.96 kB
- SHA256:
- 5e2a33dd09cf88dabc223df3b727e790d7c1b2f79699c576794c55aabf9d1ad2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.