Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,36 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: apache-2.0
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model_relation: finetune
|
| 4 |
+
base_model:
|
| 5 |
+
- sbintuitions/modernbert-ja-310m
|
| 6 |
+
tags:
|
| 7 |
+
- modernbert
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
BERT for Anima
|
| 11 |
+
|
| 12 |
+

|
| 13 |
+
|
| 14 |
+
*2girls, two girls are sitting at the table, the left girl has pink hair, the right girl has black hair. The left girl is wearing a yellow hair ribbon*
|
| 15 |
+
|
| 16 |
+
This modern architecture combines the LLM adapter with existing architectures.
|
| 17 |
+
|
| 18 |
+
Although the tokenization process is still done at the BERT level, the T5 ids are not entirely discarded. It can be called a text encoder with a dual tokenizer.
|
| 19 |
+
|
| 20 |
+
This implementation is also leaner than the fat, transformer-based adapters on the top of LLMs.
|
| 21 |
+
|
| 22 |
+
While ModernBERT's entire multilingual vocabulary can still be used, this is backward compatible with Anima's T5.
|
| 23 |
+
|
| 24 |
+
This repo also converges faster than [her lil sister](https://huggingface.co/nebulette/berry).
|
| 25 |
+
|
| 26 |
+
Source data
|
| 27 |
+
|
| 28 |
+
- anime themed, long natural sentences
|
| 29 |
+
- general tags
|
| 30 |
+
- character count tags
|
| 31 |
+
- colors
|
| 32 |
+
- negatives
|
| 33 |
+
- safety levels
|
| 34 |
+
- spatial relationships
|
| 35 |
+
|
| 36 |
+
No credits are provided; this is original work.
|