Text Classification
Transformers
PyTorch
English
modernbert
encoder
decision-model
tool-routing
agentic
Instructions to use open-zzrl/kyo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use open-zzrl/kyo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="open-zzrl/kyo")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("open-zzrl/kyo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from open-zzrl/kyo: direct link, hf CLI and curl.
- Browser
- Download file 282 MB
-
https://huggingface.co/open-zzrl/kyo/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://open-zzrl/kyo/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/open-zzrl/kyo/resolve/main/pytorch_model.bin
282 MB
- Xet hash:
- 705abc3987674360ac75f021e6fed0810cdda0a3afbafd925ac04f116069e685
- Size of remote file:
- 282 MB
- SHA256:
- df33c8fc04e617094b196d6bdbbd29386d3d1aba6e6df2b05498c4c97fe6bd03
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