fahrendrakhoirul
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Update README.md
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README.md
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@@ -26,7 +26,7 @@ Clearly define the three output classes and their corresponding labels:
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```python
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import torch.nn as nn
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from huggingface_hub import PyTorchModelHubMixin
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from transformers import
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class IndoBertCNNEcommerceReview(nn.Module, PyTorchModelHubMixin):
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def __init__(self, bert):
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@@ -50,7 +50,7 @@ class IndoBertCNNEcommerceReview(nn.Module, PyTorchModelHubMixin):
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probabilities = self.sigmoid(logits)
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return probabilities
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bert =
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num_labels=3,
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problem_type="multi_label_classification")
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tokenizer = AutoTokenizer.from_pretrained("fahrendrakhoirul/indobert-cnn-finetuned-ecommerce-reviews")
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```python
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import torch.nn as nn
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from huggingface_hub import PyTorchModelHubMixin
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from transformers import BertModel, AutoTokenizer
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class IndoBertCNNEcommerceReview(nn.Module, PyTorchModelHubMixin):
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def __init__(self, bert):
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probabilities = self.sigmoid(logits)
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return probabilities
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bert = BertModel.from_pretrained("indobenchmark/indobert-base-p1",
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num_labels=3,
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problem_type="multi_label_classification")
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tokenizer = AutoTokenizer.from_pretrained("fahrendrakhoirul/indobert-cnn-finetuned-ecommerce-reviews")
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