Text Classification
PEFT
Safetensors
English
biological-age
aging
mortality
survival-analysis
clinical-prediction
regression
knowledge-distillation
lora
qwen3.5
Instructions to use jxtse/ClinAge-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jxtse/ClinAge-4B with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("Qwen/Qwen3.5-4B") model = PeftModel.from_pretrained(base_model, "jxtse/ClinAge-4B") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from jxtse/ClinAge-4B: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/jxtse/ClinAge-4B/resolve/main/tokenizer.json
- Command line
-
hf download hf://jxtse/ClinAge-4B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/jxtse/ClinAge-4B/resolve/main/tokenizer.json
20 MB
- Xet hash:
- 458bcbf483ed805b4297af928f717e64bd00c633a07be5fae5717cacbd48e2ef
- Size of remote file:
- 20 MB
- SHA256:
- 87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.