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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("formermagic/codet5-base") model = AutoModelForSeq2SeqLM.from_pretrained("formermagic/codet5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
feat: add tensorboard logs covnerted from wandb
7b85f80 -
refactor: rename model path
8fa9366 -
feat: add gitignore file
033c663 -
feat: add codet5-base model files
6e9fb1a -
initial commit
a021130