Instructions to use andstor/Salesforce-codegen2-16B_P-unit-test-ia3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use andstor/Salesforce-codegen2-16B_P-unit-test-ia3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Salesforce/codegen2-16B_P") model = PeftModel.from_pretrained(base_model, "andstor/Salesforce-codegen2-16B_P-unit-test-ia3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfbd6d39719740cc5ca6adbfa94e721b9de2ebf1e7893c41d151406f88d2dae1
- Size of remote file:
- 6.78 kB
- SHA256:
- 98cc07b60fd882921104d1147e281efbc136edea2c7d8a79af7ee44d5b11fdad
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.