Instructions to use mradermacher/DeepSeek-Coder-V2-Instruct-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/DeepSeek-Coder-V2-Instruct-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/DeepSeek-Coder-V2-Instruct-GGUF", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01e11bc4a8d62104de89acab55229704b00eed692912f1359a85361eaa0d819a
- Size of remote file:
- 42.9 GB
- SHA256:
- 0fe5d6507a9effc99fbd0f75d70a1f14ee689b3ec82d054a443eefcb4bfa0408
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.