push 774M model
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@ -9,7 +9,7 @@ import tensorflow as tf
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import model, sample, encoder
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def sample_model(
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model_name='117M',
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model_name='124M',
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seed=None,
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nsamples=0,
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batch_size=1,
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@ -20,7 +20,7 @@ def sample_model(
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):
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"""
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Run the sample_model
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:model_name=117M : String, which model to use
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:model_name=124M : String, which model to use
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:seed=None : Integer seed for random number generators, fix seed to
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reproduce results
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:nsamples=0 : Number of samples to return, if 0, continues to
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@ -9,18 +9,18 @@ import tensorflow as tf
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import model, sample, encoder
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def interact_model(
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model_name='117M',
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model_name='124M',
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seed=None,
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nsamples=1,
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batch_size=1,
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length=None,
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temperature=1,
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top_k=0,
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models_dir='models',
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models_dir='models',
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):
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"""
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Interactively run the model
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:model_name=117M : String, which model to use
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:model_name=124M : String, which model to use
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:seed=None : Integer seed for random number generators, fix seed to reproduce
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results
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:nsamples=1 : Number of samples to return total
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@ -36,7 +36,7 @@ def interact_model(
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while 40 means 40 words are considered at each step. 0 (default) is a
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special setting meaning no restrictions. 40 generally is a good value.
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:models_dir : path to parent folder containing model subfolders
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(i.e. contains the <model_name> folder)
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(i.e. contains the <model_name> folder)
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"""
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models_dir = os.path.expanduser(os.path.expandvars(models_dir))
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if batch_size is None:
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