Instructions to use mradermacher/DeepSeek-R1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/DeepSeek-R1-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/DeepSeek-R1-GGUF", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c3d3ec9599ca111a479a4e17202b601834a835c3d041e54d799e306f6e54617
- Size of remote file:
- 43.9 GB
- SHA256:
- 02c2f3ba21966ef258d58f82c77a38f3b5c7d4a4da8fda34aae7e13fbca02d55
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.