nsi319
/

distilbert-base-uncased-finetuned-app

Text Classification

mobile app descriptions

Inference Endpoints

Model card Files Files and versions Community

nsi319 commited on Feb 27, 2022

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@@ -5,11 +5,8 @@ tags:
 - distilbert
 - pytorch
 - text-classification
-- mobile
-- app
-- descriptions
 - playstore
-- classification
 license: "mit"
 inference: true
 ---
@@ -37,10 +34,10 @@ model = AutoModelForSequenceClassification.from_pretrained("nsi319/distilbert-ba
 classifier = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)
-classifier("From scores to signings, the ESPN App is here to keep you updated. Never miss another sporting moment with up-to-the-minute scores, latest news & a range of video content. Sign in and personalise the app to receive alerts for your teams and leagues. Wherever, whenever; the ESPN app keeps you connected.")
 '''Output'''
-[{'label': 'Sports', 'score': 0.9959789514541626}]
 ```
 ## Limitations

 - distilbert
 - pytorch
 - text-classification
+- mobile app descriptions
 - playstore
 license: "mit"
 inference: true
 ---
 classifier = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)
+classifier("Disney+ has something for everyone and every mood, all in one place. With endless entertainment from Disney, Pixar, Marvel, Star Wars, National Geographic and Star, there's always something exciting to watch. Watch the latest releases, Original series and movies, classic films, throwbacks and so much more.")
 '''Output'''
+[{'label': 'Entertainment', 'score': 0.9014402031898499}]
 ```
 ## Limitations