NotaGen-X / config.py
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import os
# Configurations for inference
INFERENCE_WEIGHTS_PATH = 'weights_notagenx_p_size_16_p_length_1024_p_layers_20_h_size_1280.pth' # Path to weights for inference# Folder to save output files
#TOP_K = 9 # Top k for sampling
#TOP_P = 0.9 # Top p for sampling
#TEMPERATURE = 1.2 # Temperature for sampling
# Configurations for model
PATCH_STREAM = True # Stream training / inference
PATCH_SIZE = 16 # Patch Size
PATCH_LENGTH = 1024 # Patch Length
CHAR_NUM_LAYERS = 6 # Number of layers in the decoder
PATCH_NUM_LAYERS = 20 # Number of layers in the encoder
HIDDEN_SIZE = 1280 # Hidden Size