Token Classification
Transformers
ONNX
Safetensors
modernbert
text-compression
context-compression
yscompress
Instructions to use decompute/yscompress-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use decompute/yscompress-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="decompute/yscompress-v1")# Load model directly from transformers import AutoTokenizer, YSCompressor tokenizer = AutoTokenizer.from_pretrained("decompute/yscompress-v1") model = YSCompressor.from_pretrained("decompute/yscompress-v1") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_id": "yscompress-v1", | |
| "display_name": "YSCompress v1", | |
| "target_repo": "decompute/yscompress-v1", | |
| "architecture_alias": "YSCompressor", | |
| "model_type": "modernbert", | |
| "private_repo": true, | |
| "packaged_at_utc": "2026-06-10T20:32:27.426994+00:00", | |
| "modified_files": [ | |
| "config.json", | |
| "README.md", | |
| "THIRD_PARTY_NOTICES.md", | |
| "LICENSE", | |
| ".gitattributes", | |
| "YS_MODEL_MANIFEST.json" | |
| ] | |
| } | |