Isotonic
/

deberta-v3-base-market

Text Classification

Inference Endpoints

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Isotonic commited on Jul 13, 2023

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@@ -25,7 +25,7 @@ It will have trouble if the order of the numbers change (even if tags are includ
 You can use this model directly with a pipeline
 ```python
 >>> from transformers import pipeline
->>> pipe = pipeline("text-classification", model="Isotonic/deberta-v3-base-market")
 >>> text = "identify candle: open: 21788.19, close: 21900, high: 21965.23, low: 21788.19"
 >>> pipe(text)
 [{'label': 'Bullish', 'score': 0.9999979734420776}]

 You can use this model directly with a pipeline
 ```python
 >>> from transformers import pipeline
+>>> pipe = pipeline("text-classification", model="Isotonic/deberta-v3-base-market", num_labels=2, use_fast=False)
 >>> text = "identify candle: open: 21788.19, close: 21900, high: 21965.23, low: 21788.19"
 >>> pipe(text)
 [{'label': 'Bullish', 'score': 0.9999979734420776}]