Instructions to use fals3/Salesforce-codegen2-3_7B_P-unit-test-prompt-tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fals3/Salesforce-codegen2-3_7B_P-unit-test-prompt-tuning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Salesforce/codegen2-3_7B_P") model = PeftModel.from_pretrained(base_model, "fals3/Salesforce-codegen2-3_7B_P-unit-test-prompt-tuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab963fd7577e681de9cf1e71c920a72b1aee0ce5ccfa8d4bc508cd9e968c93f5
- Size of remote file:
- 5.11 kB
- SHA256:
- ee84376a0afa8e92a7558e0087a289f168edb765ed7c16626a9d7ff7b686738c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.