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BarcodeBERT-Finetuned-Amazon

Transformers
Safetensors
bert
pytorch_model_hub_mixin
model_hub_mixin
Inference Endpoints
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Update README.md

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@@ -85,7 +85,7 @@ env_data = scaler.transform([env_data])
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  env_data = torch.from_numpy(env_data).to(torch.float32)
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  # Obtain genus prediction
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- logits = classification_model(bert_inputs, env_data)
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  temperature = 0.2
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  # Obtain the final genus probabilities
 
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  env_data = torch.from_numpy(env_data).to(torch.float32)
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  # Obtain genus prediction
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+ logits = classification_model(dna_tokenized, env_data)
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  temperature = 0.2
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  # Obtain the final genus probabilities