Instructions to use Xenova/Kimi-K3-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xenova/Kimi-K3-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Xenova/Kimi-K3-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
base_model:
- moonshotai/Kimi-K3
library_name: transformers
Kimi K3 Tokenizer
Standalone tokenizer files for Kimi K3. No custom tokenizer code or trust_remote_code=True is required.
Transformers
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("Xenova/Kimi-K3-tokenizer")
inputs = tokenizer("Hello from Kimi K3!")