Update README.md
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README.md
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@@ -35,7 +35,7 @@ hist_ndaq = pd.DataFrame("nasdaq_price_history.csv")
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input_data = hist_ndaq[["Open", "High", "Low", "Close", "Volume"]].iloc[:512]
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inputs = feature_extractor(input_data, return_tensors="pt")
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# inputs = feature_extractor([input_data], return_tensors="pt") # You can also pass multiple data in a list.
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inputs = inputs.to(device)
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outputs = model(**inputs)
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input_data = hist_ndaq[["Open", "High", "Low", "Close", "Volume"]].iloc[:512]
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inputs = feature_extractor(input_data, return_tensors="pt")
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# inputs = feature_extractor([input_data, input_data_2], return_tensors="pt") # You can also pass multiple data in a list.
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inputs = inputs.to(device)
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outputs = model(**inputs)
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