Feature Extraction
Transformers
Safetensors
qwen3
speculative-decoding
dflash
eagle
draft-model
kimi-k2
specforge
custom_code
Instructions to use cm00cm/Kimi-K2.7-Code-DFlash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cm00cm/Kimi-K2.7-Code-DFlash with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="cm00cm/Kimi-K2.7-Code-DFlash", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("cm00cm/Kimi-K2.7-Code-DFlash", trust_remote_code=True) model = AutoModel.from_pretrained("cm00cm/Kimi-K2.7-Code-DFlash", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Ctrl+K