Instructions to use Kdeveloper1029/PJAITEST1903 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kdeveloper1029/PJAITEST1903 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Kdeveloper1029/PJAITEST1903", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Nah_kagz1092 commited on
Update model.py
Browse files
model.py
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@@ -10,3 +10,7 @@ class TransformerModel(tf.keras.Model):
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encoder_output = self.encoder(inputs)
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decoder_output = self.decoder(targets, encoder_output)
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return decoder_output
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encoder_output = self.encoder(inputs)
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decoder_output = self.decoder(targets, encoder_output)
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return decoder_output
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def predict(self, input_data):
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# Code để dự đoán đầu ra dựa trên đầu vào
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pass
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