Update README.md

README.md

@@ -4,10 +4,13 @@ base_model: indolem/indobert-base-uncased
 tags:
 - generated_from_trainer
 datasets:
-- indoqa
+- jakartaresearch/indoqa
 model-index:
 - name: IndoQA
   results: []
+language:
+- id
+pipeline_tag: question-answering
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,23 +18,23 @@ should probably proofread and complete it, then remove this comment. -->
 
 # IndoQA
 
-This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the indoqa dataset.
+This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on [jakartaresearch/indoqa](https://huggingface.co/datasets/jakartaresearch/indoqa).
 It achieves the following results on the evaluation set:
 - Loss: 1.4807
 
-## Model description
+### How to use this model in Transformers Library
 
-More information needed
+```python
+from transformers import pipeline
 
-## Intended uses & limitations
+question = "Berapa jumlah pulau yang ada di indonesia?"
+context = "Indonesia adalah negara kepulauan, Dengan jumlah pulau sekitar 17 ribu"
 
-More information needed
+from transformers import pipeline
 
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
+question_answerer = pipeline("question-answering", model="digo-prayudha/IndoQA")
+question_answerer(question=question, context=context)
+```
 
 ### Training hyperparameters
 
@@ -58,4 +61,4 @@ The following hyperparameters were used during training:
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu121
 - Datasets 2.15.0
-- Tokenizers 0.15.0
+- Tokenizers 0.15.0