Instructions to use Salesforce/instructcodet5p-16b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/instructcodet5p-16b with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/instructcodet5p-16b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f84196bd32eaa4e50191bd0673d0df16f88b9fbae1792648107947e9ee79364
- Size of remote file:
- 8 GB
- SHA256:
- cfccb18318dbe9e9377e4590feb7a9ef4b57e7d6f4c332acd4a759307ad5ce69
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.