Instructions to use arefm/refine_suggestions_codet5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arefm/refine_suggestions_codet5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("arefm/refine_suggestions_codet5-base") model = AutoModelForSeq2SeqLM.from_pretrained("arefm/refine_suggestions_codet5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 591b86a7497b2251d3119f69450bbdd82f89f8a32e6bfa7329b9236b27e0d29a
- Size of remote file:
- 892 MB
- SHA256:
- a7139f61637a790e924cfd23cbdc4e5421107f356fb1dbf8ca3fdaff21bdbdff
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.