Instructions to use mingyue0101/polycoder-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mingyue0101/polycoder-model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NinedayWang/PolyCoder-2.7B") model = PeftModel.from_pretrained(base_model, "mingyue0101/polycoder-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15f17c92f7d055b6a29d9c1a0fe08742461513af84be4e24edae4e1133e6290f
- Size of remote file:
- 83.9 MB
- SHA256:
- b2ad2444295e648b05f40a281bfcb33af2e1af37b74d893bb39aac4a1a4b544b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.