Instructions to use andstor/Salesforce-codegen-350M-multi-unit-test-ia3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use andstor/Salesforce-codegen-350M-multi-unit-test-ia3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Salesforce/codegen-350M-multi") model = PeftModel.from_pretrained(base_model, "andstor/Salesforce-codegen-350M-multi-unit-test-ia3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7c88ce41caae2c271a3fea47e0413cee39fcf8e2fa7ca935f688f86c9f566bf
- Size of remote file:
- 5.11 kB
- SHA256:
- b2878a7cd20e8c7ced6c00162ac78aba7c17a0ed7ac6f9ad06c198bb8936b680
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.