Upload json_tokenizer/__init__.py with huggingface_hub
Browse files- json_tokenizer/__init__.py +24 -0
json_tokenizer/__init__.py
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""
|
| 2 |
+
json_tokenizer — A tokenizer optimized for JSON structures.
|
| 3 |
+
|
| 4 |
+
Architecture:
|
| 5 |
+
- Structural tokens: single-token representations for JSON grammar ({, }, [, ], :, ,)
|
| 6 |
+
- Key tokens: deduplicated key vocabulary with Key() wrapper
|
| 7 |
+
- Value BPE: byte-pair encoding trained on JSON string/number values
|
| 8 |
+
- Type tokens: explicit type markers for faithful roundtrip encoding
|
| 9 |
+
|
| 10 |
+
Delivers 5-15% fewer tokens than cl100k_base on schema-repetitive JSON
|
| 11 |
+
with a 90x smaller vocabulary, and lossless roundtrip fidelity.
|
| 12 |
+
"""
|
| 13 |
+
|
| 14 |
+
from json_tokenizer.tokenizer import JSONTokenizer
|
| 15 |
+
from json_tokenizer.bpe import BPETrainer
|
| 16 |
+
|
| 17 |
+
__version__ = "0.2.0"
|
| 18 |
+
__all__ = ["JSONTokenizer", "BPETrainer"]
|
| 19 |
+
|
| 20 |
+
try:
|
| 21 |
+
from json_tokenizer.hf_compat import JSONPreTrainedTokenizer
|
| 22 |
+
__all__.append("JSONPreTrainedTokenizer")
|
| 23 |
+
except ImportError:
|
| 24 |
+
pass # transformers not installed
|