Instructions to use inference-optimization/Kimi-K3-0.40B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inference-optimization/Kimi-K3-0.40B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="inference-optimization/Kimi-K3-0.40B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("inference-optimization/Kimi-K3-0.40B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b1511bd35ce2f31abd9daad16459e6fa5b49e3d4508e38d2a58b5a5598f4450
- Size of remote file:
- 3.11 GB
- SHA256:
- e8ec00c4e3b5d1d976abdfed9324fe25106a2c300a9a680c9b170c940c22541a
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