Instructions to use formermagic/codet5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use formermagic/codet5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("formermagic/codet5-base") model = AutoModelForSeq2SeqLM.from_pretrained("formermagic/codet5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4894fde7fbfa22c166b718fc72adbaa26069b5b5d04f753543b35922113e507d
- Size of remote file:
- 990 MB
- SHA256:
- 341cfa7aa1fda0295e894730d939b387efa76c710fc7e5e1fe950ffc6413f1a0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.