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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49431f9e225aef0d39b26db20646fb460899d49fa779602c6eb77cfcae820713
- Size of remote file:
- 46.2 GB
- SHA256:
- 7b9296a8c16327f168ddc513d6dd7094bc6c04f20548799ddc9f7f4d15f0c513
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