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:
- d8a5b6ceb58eda0ee812e325a76e75be0ae79f34634d67e6fc28b6dd630c0a48
- Size of remote file:
- 3.11 GB
- SHA256:
- bf196c8e3ff1745c20f2460f3650c0a834058173c50388bee0f08cf73bc9e3e0
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