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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 481 Bytes
301ca84 e2692aa 301ca84 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | import tensorflow as tf
class TransformerModel(tf.keras.Model):
def __init__(self, config):
super(TransformerModel, self).__init__()
self.encoder = tf.keras.layers.Transformer(**config["encoder_params"])
self.decoder = tf.keras.layers.Transformer(**config["decoder_params"])
def call(self, inputs, targets):
encoder_output = self.encoder(inputs)
decoder_output = self.decoder(targets, encoder_output)
return decoder_output
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