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:
- 7492a339d7f16971cfdd0faebacbfb69afb6c2db9ef74692138d148f3eeb1dfb
- Size of remote file:
- 46.2 GB
- SHA256:
- 4ac62d70f748eabb70d2025e99b4e06ad2aaacc6970a7364c0075d6521e4f89c
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