Instructions to use goldsounds/jetpack-model-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use goldsounds/jetpack-model-pt with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-7b") model = PeftModel.from_pretrained(base_model, "goldsounds/jetpack-model-pt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 115a6af9c2eeb490f014d4c4749ea8073b89b7cd8b5c21279b9b0bcab7c95bde
- Size of remote file:
- 5.05 kB
- SHA256:
- aba1ff1fdda3287196c6ef142366a8ee27aa213077a93b2e39492dd1603ae72f
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