Update README for v6.1.1
Browse files
README.md
CHANGED
|
@@ -1,14 +1,35 @@
|
|
| 1 |
---
|
| 2 |
-
title:
|
| 3 |
-
emoji:
|
| 4 |
-
colorFrom:
|
| 5 |
colorTo: green
|
| 6 |
sdk: gradio
|
| 7 |
-
sdk_version:
|
| 8 |
app_file: app.py
|
| 9 |
-
pinned:
|
| 10 |
-
|
| 11 |
-
|
| 12 |
---
|
| 13 |
|
| 14 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
+
title: B2NL Tokenizer v6.1.1 Demo
|
| 3 |
+
emoji: π
|
| 4 |
+
colorFrom: blue
|
| 5 |
colorTo: green
|
| 6 |
sdk: gradio
|
| 7 |
+
sdk_version: 4.0.0
|
| 8 |
app_file: app.py
|
| 9 |
+
pinned: true
|
| 10 |
+
models:
|
| 11 |
+
- ggunio/B2NL-v6.1.1
|
| 12 |
---
|
| 13 |
|
| 14 |
+
# B2NL v6.1.1: Byte-to-Natural-Language Tokenizer
|
| 15 |
+
|
| 16 |
+
## π 97.71% Reconstruction Achieved!
|
| 17 |
+
|
| 18 |
+
This space demonstrates our breakthrough byte-level tokenizer that achieves **100% byte-exact reconstruction** for all tested languages without any vocabulary files.
|
| 19 |
+
|
| 20 |
+
### Key Features
|
| 21 |
+
- **No Vocabulary**: Pure byte-level learning
|
| 22 |
+
- **97.71% Overall Accuracy**: Near-perfect reconstruction
|
| 23 |
+
- **6 Languages**: 100% byte-exact for each
|
| 24 |
+
- **301.7M Parameters**: Efficient size
|
| 25 |
+
- **Pure Learning**: No linguistic rules
|
| 26 |
+
|
| 27 |
+
### Phase 1 Complete
|
| 28 |
+
We've successfully completed Phase 1 training with outstanding results. Phase 2 (compression) starting soon!
|
| 29 |
+
|
| 30 |
+
### Links
|
| 31 |
+
- [Model](https://huggingface.co/ggunio/B2NL-v6.1.1)
|
| 32 |
+
- [GitHub](https://github.com/Woojiggun/intelligent-tokenizer)
|
| 33 |
+
|
| 34 |
+
### Support Us
|
| 35 |
+
We need GPU resources to train on 204 languages. If you can help, please reach out!
|