Instructions to use Devakumar868/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Devakumar868/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-1.3b-instruct") model = PeftModel.from_pretrained(base_model, "Devakumar868/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47495d9f3ed04647d4947416d54ccb3d8989a6ec9d71cf9d4cfee1e65f1f49d9
- Size of remote file:
- 5.24 kB
- SHA256:
- db3d7d48d75af8526f58d094af794bee6150f332bb443f62d7105505fde085a1
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