Instructions to use BienKieu/codeT5Plus_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BienKieu/codeT5Plus_new with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BienKieu/codeT5Plus_new") model = AutoModelForSeq2SeqLM.from_pretrained("BienKieu/codeT5Plus_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Push tokenizer from old commit
Verified signaturec07f839 -
Push model from old commit
Verified signaturee7237c9 -
Model save
Verified signatureab18d02 -
Training in progress, epoch 8
Verified signaturef99a288
-
Training in progress, epoch 7
Verified signature05eccac -
Training in progress, epoch 6
Verified signature2b3fc01 -
Training in progress, epoch 5
Verified signatureb8bc374 -
Training in progress, epoch 4
Verified signaturee314b9b -
Training in progress, epoch 3
Verified signatureb2c7965 -
Training in progress, epoch 2
Verified signature1ca866e -
Training in progress, epoch 1
Verified signature7511d79
-
Model save
Verified signatureb43af8f -
Training in progress, epoch 8
Verified signature7218eee -
Training in progress, epoch 7
Verified signaturefd3b69f -
Training in progress, epoch 6
Verified signature443aa69 -
Training in progress, epoch 5
Verified signature270c4fa
-
Training in progress, epoch 4
Verified signature0214a18 -
Training in progress, epoch 3
Verified signaturea943e66 -
Training in progress, epoch 2
Verified signatureb406ab5 -
Training in progress, epoch 1
Verified signaturec1dac10 -
initial commit
Verified signature49cf9b7