Any-to-Any
Transformers
Safetensors
kimi_k25
feature-extraction
compressed-tensors
custom_code
Eval Results
Instructions to use Anubis136/Surge-K2.7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anubis136/Surge-K2.7 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Anubis136/Surge-K2.7", trust_remote_code=True) model = AutoModel.from_pretrained("Anubis136/Surge-K2.7", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update LICENSE (#1)
- Update LICENSE (733fd5859716720996fe749eaa72489ff7f167ab) Co-authored-by: adk <mok9900@users.noreply.huggingface.co>058203b
-
Update README.md
Verified signatured8b2e67 -
Duplicate from moonshotai/Kimi-K2.6
Co-authored-by: Chu Wei <courage17340@users.noreply.huggingface.co>6e0d65d