Hugging Face's logo

manred1997
/
deberta-v3-large-lemon-spell_5k

Token Classification
Transformers
Safetensors
English
deberta-v2
gec
grammar
Model card Files
xet
 Community
manred1997 commited on
Commit
857472c
·
verified ·
1 Parent(s): 6110b15

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +2 -3
README.md CHANGED
@@ -26,8 +26,7 @@ This model is a grammar error correction (GEC) system fine-tuned from the `micro
26
 
27
  - **Model type:** Token classification with sequence-to-sequence correction
28
  - **Language(s) (NLP):** English
29
- - **License:** [More Information Needed]
30
- - **Finetuned from model [optional]:** `microsoft/deberta-v3-large`
31
 
32
 
33
  ## Uses
@@ -40,7 +39,7 @@ This model is a grammar error correction (GEC) system fine-tuned from the `micro
40
 
41
  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.
42
 
43
- ### Downstream Use [optional]
44
 
45
  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.
46
 
 
26
 
27
  - **Model type:** Token classification with sequence-to-sequence correction
28
  - **Language(s) (NLP):** English
29
+ - **Finetuned from model:** `microsoft/deberta-v3-large`
 
30
 
31
 
32
  ## Uses
 
39
 
40
  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.
41
 
42
+ ### Downstream Use
43
 
44
  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.
45