explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2025-07-14 18:22:27 +03:00
Code Issues Packages Projects Releases Wiki Activity

Rephrase.

Browse Source
This commit is contained in:
Raphael Mitsch 2023-10-11 12:16:40 +02:00
parent 64c40d16f0
commit f6d9e5c4df
1 changed files with 3 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

5
website/docs/api/large-language-models.mdx
View File

@ -754,8 +754,9 @@ path = "textcat_examples.json"
If you want to perform few-shot learning with a binary classifier (i. e. a text If you want to perform few-shot learning with a binary classifier (i. e. a text
either should or should not be assigned to a given class), you can provide either should or should not be assigned to a given class), you can provide
positive and negative examples with the POS/NEG label. An example for spam positive and negative examples with answers of "POS" or "NEG". "POS" means that
classification: this example should be assigned the class label defined in the configuration,
"NEG" means it shouldn't. E. g. for spam classification:
```json ```json
[ [