README: badge lines as bullets so each renders on its own line
Browse files
README.md
CHANGED
|
@@ -45,11 +45,11 @@ model-index:
|
|
| 45 |
|
| 46 |
A 37.76M-backbone-parameter BERT-style encoder for fine-grained file-content-type detection from binary data. Takes any 4 KB byte buffer (regardless of source offset) and produces a 512-dimensional embedding that classifiers map to one of [libmagic](https://github.com/file/file)'s 125 MIME labels. Designed for inputs where you only have a chunk: a forensic-carved fragment, a random disk-block read, a streaming HTTP upload, a single network packet payload.
|
| 47 |
|
| 48 |
-
**🔗 Model**: [`mjbommar/mimelens-001-medium-bpe-16k-s1`](https://huggingface.co/mjbommar/mimelens-001-medium-bpe-16k-s1)
|
| 49 |
-
**👥 Family**: [`mjbommar/mimelens-001`](https://huggingface.co/mjbommar/mimelens-001) (28 pretrained cells; family hub forthcoming)
|
| 50 |
-
**🔤 Tokenizer**: [`mjbommar/binary-tokenizer-001-16k`](https://huggingface.co/mjbommar/binary-tokenizer-001-16k)
|
| 51 |
-
**📄 Paper**: *MimeLens: Pretrained Encoders for Fine-Grained Content-Type Detection* (Bommarito 2026). [GitHub](https://github.com/mjbommar/binary-embedding-paper) (source release forthcoming)
|
| 52 |
-
**📊 Pretraining corpus**: [`mjbommar/binary-30k-tokenized`](https://huggingface.co/datasets/mjbommar/binary-30k-tokenized) plus magic-frags, glaurung, Windows drivers (33 GB stratified)
|
| 53 |
|
| 54 |
---
|
| 55 |
|
|
|
|
| 45 |
|
| 46 |
A 37.76M-backbone-parameter BERT-style encoder for fine-grained file-content-type detection from binary data. Takes any 4 KB byte buffer (regardless of source offset) and produces a 512-dimensional embedding that classifiers map to one of [libmagic](https://github.com/file/file)'s 125 MIME labels. Designed for inputs where you only have a chunk: a forensic-carved fragment, a random disk-block read, a streaming HTTP upload, a single network packet payload.
|
| 47 |
|
| 48 |
+
- **🔗 Model**: [`mjbommar/mimelens-001-medium-bpe-16k-s1`](https://huggingface.co/mjbommar/mimelens-001-medium-bpe-16k-s1)
|
| 49 |
+
- **👥 Family**: [`mjbommar/mimelens-001`](https://huggingface.co/mjbommar/mimelens-001) (28 pretrained cells; family hub forthcoming)
|
| 50 |
+
- **🔤 Tokenizer**: [`mjbommar/binary-tokenizer-001-16k`](https://huggingface.co/mjbommar/binary-tokenizer-001-16k)
|
| 51 |
+
- **📄 Paper**: *MimeLens: Pretrained Encoders for Fine-Grained Content-Type Detection* (Bommarito 2026). [GitHub](https://github.com/mjbommar/binary-embedding-paper) (source release forthcoming)
|
| 52 |
+
- **📊 Pretraining corpus**: [`mjbommar/binary-30k-tokenized`](https://huggingface.co/datasets/mjbommar/binary-30k-tokenized) plus magic-frags, glaurung, Windows drivers (33 GB stratified)
|
| 53 |
|
| 54 |
---
|
| 55 |
|