Instructions to use bmas10/QuattroITSupportFromDeepSeek with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bmas10/QuattroITSupportFromDeepSeek with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1-Distill-Llama-8B") model = PeftModel.from_pretrained(base_model, "bmas10/QuattroITSupportFromDeepSeek") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5fd72121c2e391aad70a3dc6e2f6ff24ed96cdfa17dac59df80b854afff5325
- Size of remote file:
- 5.24 kB
- SHA256:
- 68486f347261c389b36a7378e9db4419a6b8175c3784bc64586f6f9f869da18e
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