Instructions to use Salesforce/codet5p-16b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/codet5p-16b with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/codet5p-16b", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Can this model be used for infilling?
#2
by JoaoLages - opened
From what I read in the paper (https://arxiv.org/pdf/2305.07922.pdf), fill-in-the-middle wasn't a task. I'd like to ask why or if it also works like that. FIM is what is missing for encoder-decoder models to just surpass decoder-only