Text Classification
Transformers
PyTorch
English
modernbert
encoder
decision-model
tool-routing
agentic
Instructions to use open-zzrl/kyo-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use open-zzrl/kyo-instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="open-zzrl/kyo-instruct")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("open-zzrl/kyo-instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from open-zzrl/kyo-instruct: direct link, hf CLI and curl.
- Browser
- Download file 282 MB
-
https://huggingface.co/open-zzrl/kyo-instruct/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://open-zzrl/kyo-instruct/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/open-zzrl/kyo-instruct/resolve/main/pytorch_model.bin
282 MB
- Xet hash:
- 4ef4eb8ba4950500b4cc53b977f369f135023a3ebaf36174b3c11a974416e1f3
- Size of remote file:
- 282 MB
- SHA256:
- a52bf1737ace73a2e5da084e853790e7f0e785c6a350e483ac96e58ea0e0667c
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