Instructions to use aleegis10/0aa7975a-2431-4f55-be8e-d7b2eb6326f2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis10/0aa7975a-2431-4f55-be8e-d7b2eb6326f2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "aleegis10/0aa7975a-2431-4f55-be8e-d7b2eb6326f2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e82619331a3b47d2c81ac51d8d9e72d8eb03e393d17e85c766935db7b0885fe
- Size of remote file:
- 194 MB
- SHA256:
- 17319875c825b4ed6d98825539aaf7af67d5418d0ed4b0da6ed2bc822b5d132c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.