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:
- e282d78e435d7a1657d6e4efc66c446a9e3e594a0cdf72487e40589c9f827848
- Size of remote file:
- 5.14 kB
- SHA256:
- f19913b3b6afaeaf1d74c8ed30fbedacc01d71d1a4a074e19801f7d5e762baaf
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