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## ss
## 完整性
以下 256个字符保证了词典的完整性
```
"vocab": {
"<0x00>": 3,
"<0x01>": 4,
...
"<0xFE>": 257,
"<0xFF>": 258,
```
##
```json
"normalizer": {
"type": "Sequence",
"normalizers": [
{
"type": "Prepend",
"prepend": "▁"
},
{
"type": "Replace",
"pattern": {
"String": " "
},
"content": "▁"
}
]
},
"post_processor": {
"type": "TemplateProcessing",
"single": [
{
"SpecialToken": {
"id": "<s>",
"type_id": 0
}
},
{
"Sequence": {
"id": "A",
"type_id": 0
}
}
],
"pair": [
{
"SpecialToken": {
"id": "<s>",
"type_id": 0
}
},
{
"Sequence": {
"id": "A",
"type_id": 0
}
},
{
"Sequence": {
"id": "B",
"type_id": 0
}
}
],
"special_tokens": {
"<s>": {
"id": "<s>",
"ids": [
1
],
"tokens": [
"<s>"
]
}
}
},
"decoder": {
"type": "Sequence",
"decoders": [
{
"type": "Replace",
"pattern": {
"String": "▁"
},
"content": " "
},
{
"type": "ByteFallback"
},
{
"type": "Fuse"
},
{
"type": "Strip",
"content": " ",
"start": 1,
"stop": 0
}
]
},
```
## issues
1. https://github.com/LianjiaTech/BELLE/issues/45
llama 700个中文只是显式支持的数量,隐含支持的unicode中文字远超700,
你可以随便用一个bert的词表做实验。不过恶心的是这样一个中文字就会encode成4,5个unicode toekn,长度一下就上去了,所以还是哈工大做中文词表增强的靠谱。
2. https://github.com/LianjiaTech/BELLE/issues/43
请问各位llama在中文上使用需要对词表做额外操作吗?
应该是要的,我测了一下llama词表和常用汉字3500个的交集,只有600多个。增加词表可参考https://github.com/ymcui/Chinese-LLaMA-Alpaca |