Instructions to use sami606713/unit_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sami606713/unit_test with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/codet5-base") model = PeftModel.from_pretrained(base_model, "sami606713/unit_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7e205bc1c2de4b4ab911a64ef07c10f4b7cab9ca57cf56438263ce3e5948ef9
- Size of remote file:
- 7.1 MB
- SHA256:
- 9ac9d50bc88a655ccf7bdb0c7547c8d65400413dfebd2f86c47ee7e5c88d802e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.