Token Classification
Transformers
ONNX
Safetensors
modernbert
text-compression
context-compression
yscompress
# Load model directly
from transformers import AutoTokenizer, YSCompressor
tokenizer = AutoTokenizer.from_pretrained("decompute/yscompress-v1")
model = YSCompressor.from_pretrained("decompute/yscompress-v1")Quick Links
YSCompress v1
YSCompress v1 is an internal context/token compression model package.
Intended use
This package is intended for context compression and token-level keep/discard scoring in Decompute/Recompute inference systems.
Loading
from transformers import AutoConfig
cfg = AutoConfig.from_pretrained("decompute/yscompress-v1", token="hf_...")
print(cfg.model_type) # modernbert
Runtime note
model_type is intentionally retained as modernbert for Transformers compatibility. The deployment-facing architecture alias is YSCompressor.
Package contents
The package includes model weights, tokenizer assets, model configuration, optional ONNX assets if present, license, and third-party notices.
- Downloads last month
- 143
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="decompute/yscompress-v1")