license: apache-2.0
base_model: zuzab/pico-extractor
library_name: transformers
pipeline_tag: token-classification
language:
- en
tags:
- mlx
- safetensors
- fp16
- biomedical
- pico
- ner
- bert
pico-extractor
BIO token classifier tagging PICO elements (Population, Intervention, Comparator, Outcome) in clinical-trial abstracts; used by Mineris for PICO span extraction.
This is a format conversion of zuzab/pico-extractor
for Mineris' MLX inference stack (mineris_inference) — not a fine-tune. Weights are
the full upstream BertForTokenClassification (encoder + classification head) cast to fp16 and stored as model.safetensors; a
tokenizer.json is included so the model loads without transformers or torch.
Labels
| id | label |
|---|---|
| 0 | O |
| 1 | B-P |
| 2 | B-I |
| 3 | B-C |
| 4 | B-O |
| 5 | I-P |
| 6 | I-I |
| 7 | I-C |
| 8 | I-O |
Provenance
| Upstream repo | zuzab/pico-extractor |
| Upstream commit | ed4df86e482d9c53d953791a71c15caa5a687d96 |
| License | apache-2.0 (declared by Mineris, the upstream owner) |
| Conversion notebook | notebook/notebooks/converter/convert_pico_extractor.ipynb (mineris repo) |
| Mineris commit | 9817fe7bbeb2a4b23fd683144a28a5843af94af9 |
| Version | v1.0.0 |
| dtype | fp16 |
| Tensors / size | 199 / 215.3 MB |
Conversion parity (fp16 mirror vs fp32 upstream, PyTorch)
| Metric | Value |
|---|---|
| Texts | 18 |
Tokenizer id mismatches (tokenizer.json via tokenizers vs upstream tokenizer) |
0 |
| Token argmax label agreement, per text — min / mean | 1.000000 / 1.000000 |
| Logits, non-padding tokens — max abs diff / median relative diff | 9.82e-03 / 5.09e-04 |
| Threshold (min token argmax label agreement) | 0.995 |
MLX-runtime parity is tracked separately in the mineris notebook/notebooks/benchmark/ notebooks.
Versioning
Releases are semver git tags on this repo (vMAJOR.MINOR.PATCH); consumers pin a tag. MAJOR =
output-incompatible change, MINOR = compatible re-conversion, PATCH = card/metadata only.
CHANGELOG
v1.0.0— initial conversion fromzuzab/pico-extractor@ed4df86.