Instructions to use openenv-community/k8s-sre-agent-qwen3-1.7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openenv-community/k8s-sre-agent-qwen3-1.7b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openenv-community/k8s-sre-agent-qwen3-1.7b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bad1e07872f3090b67382bb6df033f86796ef0df10a8892c865bf214659d38b9
- Size of remote file:
- 7.83 kB
- SHA256:
- 275aaef43975fbc55edfacb6e8608782cebc640b642da304d214d0df6ad25e21
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.