Instructions to use baltop/deep_400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baltop/deep_400 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-6.7b-instruct") model = PeftModel.from_pretrained(base_model, "baltop/deep_400") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62db6a01735af2f338c75480ecee3ad9e2c118ee48b9a620ac9ffab850b96319
- Size of remote file:
- 81.8 MB
- SHA256:
- fc2089d2688599562d120e8c5791b0cddaffc60cba7663192daef5b3e8c2e17c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.