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library_name: transformers
pipeline_tag: text-classification
base_model: answerdotai/ModernBERT-base
language:
- en
tags:
- text-classification
- memory
- darkmem
- modernbert
---
# darkmem-classifier-v1
Seven-class memory-type classifier for darkmem. Labels: fact, decision, preference, problem, reference, architecture, milestone.
## Metrics
accuracy 0.975 / macro F1 0.975 on 1,000-row gold (`gold_v3.jsonl`).
## Base model
[answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base)
## Usage
```python
from transformers import AutoModelForSequenceClassification, AutoTokenizer
tok = AutoTokenizer.from_pretrained("darkraise/darkmem-classifier-v1", trust_remote_code=True)
model = AutoModelForSequenceClassification.from_pretrained("darkraise/darkmem-classifier-v1", trust_remote_code=True)
```
## License
Inherits the license of the base model. Fine-tuned weights published under the
same terms unless noted otherwise in the repo.
## Provenance
Fine-tuned as part of [darkmem](https://github.com/) — a centralized memory
system for AI agents. Training recipe and evaluation scripts are in the
`fine-tuning/` subtree of the darkmem repository.
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