Instructions to use abhibisht89/signalade-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhibisht89/signalade-4b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abhibisht89/signalade-4b")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("abhibisht89/signalade-4b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
SignalADE-4B (merged)
Merged SignalADE weights: Qwen/Qwen3.5-4B + signalade-4b-lora.
ADE/ADR signal scoring from free text — calibrated option probabilities via letter logprobs (not chat generation).
Links
| Artifact | Link |
|---|---|
| This model (merged) | abhibisht89/signalade-4b |
| LoRA | abhibisht89/signalade-4b-lora |
| Demo | abhibisht89/signalade-demo |
Holdout (same protocol as LoRA card)
ADE-V2 · seed=42 · N=200 · hold_frac=0.15 · T=1.3929
| Model | Acc | macro-F1 | ECE |
|---|---|---|---|
| Base Qwen3.5-4B | 0.845 | 0.843 | 0.118 |
| SignalADE v1 | 0.965 | 0.965 | 0.050 |
See signalade_config.json when present in this repo (copied on merge). Until full weight files appear here, load the LoRA.
Licence
Research / non-commercial by default. Not for clinical care.