aisyahhrazak commited on
Commit
263af10
·
verified ·
1 Parent(s): 3fe2cfb

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +4 -5
README.md CHANGED
@@ -1,9 +1,11 @@
1
  ---
2
  language:
3
  - ms
 
 
4
  ---
5
 
6
- ## SiEBERT - Malay-Language Sentiment Classification
7
 
8
  # Overview
9
  This model is a fine-tuned checkpoint of [Deberta-V3-xsmall](https://huggingface.co/microsoft/deberta-v3-xsmall). It enables binary sentiment analysis for Malay-language text. For each instance, it predicts either positive (1) or negative (0) sentiment.
@@ -16,7 +18,4 @@ The easiest way to use the model for single predictions is Hugging Face's [senti
16
  from transformers import pipeline
17
  sentiment_analysis = pipeline("sentiment-analysis",model="malaysia-ai/deberta-v3-xsmall-malay-sentiment")
18
  print(sentiment_analysis("saya comel"))
19
- ```
20
-
21
-
22
-
 
1
  ---
2
  language:
3
  - ms
4
+ tags:
5
+ - sentiment
6
  ---
7
 
8
+ ## Malay-Language Sentiment Classification
9
 
10
  # Overview
11
  This model is a fine-tuned checkpoint of [Deberta-V3-xsmall](https://huggingface.co/microsoft/deberta-v3-xsmall). It enables binary sentiment analysis for Malay-language text. For each instance, it predicts either positive (1) or negative (0) sentiment.
 
18
  from transformers import pipeline
19
  sentiment_analysis = pipeline("sentiment-analysis",model="malaysia-ai/deberta-v3-xsmall-malay-sentiment")
20
  print(sentiment_analysis("saya comel"))
21
+ ```