Add model card for binary

README.md

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+---
+language:
+- dna
+tags:
+- biology
+- genomics
+- transposable-elements
+- dnabert
+- bilstm
+- sequence-classification
+license: mit
+---
+
+# TE-GER — Binary Detection
+
+Part of the **TE-GER** (Transposable Elements Genomic Entity Recognition) toolkit.
+
+TE-GER binary model: detects presence/absence of Transposable Elements (TE vs Background) in genomic sequences. Architecture: DNABERT-2 + BiLSTM hybrid. Labels: Background, TE.
+
+## Model Architecture
+
+- **Base:** [DNABERT-2](https://huggingface.co/zhihan1996/DNABERT-2-117M) (DNA language model)
+- **Head:** Bidirectional LSTM + Linear Classifier
+- **Input:** 512 bp sliding windows over raw FASTA sequences
+- **Task:** Sequence classification (token-level TE annotation)
+
+## Usage
+
+Use this model via the [TE-GER CLI](https://github.com/johanpina/te-ger):
+
+```bash
+python Te_annotator.py genome.fasta output.gff3 --level binary
+```
+
+## Labels
+
+- `0`: Background
+- `1`: TE
+
+## Citation
+
+Developed by Johan S. Piña — 2025