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:
- a489d9d98ed51a7330b5f62ed7b130fc35549c1a3350a6e0dfac83d59f5508e6
- Size of remote file:
- 4.66 kB
- SHA256:
- 0848a66c878d715686199d96138dbb139c7eddc05d41209bd86b03f2350ced95
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.