manred1997
/

deberta-v3-large-lemon-spell_5k

Token Classification

Inference Endpoints

Model card Files Files and versions Community

manred1997 commited on Oct 26

Commit

857472c

•

1 Parent(s): 6110b15

Update README.md

Files changed (1) hide show

README.md +2 -3

README.md CHANGED Viewed

@@ -26,8 +26,7 @@ This model is a grammar error correction (GEC) system fine-tuned from the `micro
 - **Model type:** Token classification with sequence-to-sequence correction
 - **Language(s) (NLP):** English
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** `microsoft/deberta-v3-large`
 ## Uses
@@ -40,7 +39,7 @@ This model is a grammar error correction (GEC) system fine-tuned from the `micro
 This model can be used directly for grammar error detection and correction in English texts. It's ideal for integration into writing assistants, educational software, or proofreading tools.
-### Downstream Use [optional]
 The model can be fine-tuned for specific domains like academic writing, business communication, or informal text correction, ensuring high precision in context-specific grammar errors.

 - **Model type:** Token classification with sequence-to-sequence correction
 - **Language(s) (NLP):** English
+- **Finetuned from model:** `microsoft/deberta-v3-large`
 ## Uses
 This model can be used directly for grammar error detection and correction in English texts. It's ideal for integration into writing assistants, educational software, or proofreading tools.
+### Downstream Use
 The model can be fine-tuned for specific domains like academic writing, business communication, or informal text correction, ensuring high precision in context-specific grammar errors.