Comments (2)
leicao-me
commented on September 28, 2024
If you just install tensorflow instead of tensorflow-gpu, you can train with CPU. But it could take you for days.
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localminimum
commented on September 28, 2024
Hi, if you look at this issue, @ajay-seeram tried running this experiment in cpu, reported that it took 4 days and a half to train 35k steps.
You can simply install tensorflow in your macbook and follow the steps written in README.md file.
However, I do not recommend you training this model in your Mac as it will likely overheat your laptop in no time.
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Related Issues (20)
- https://nlp.stanford.edu/data/glove.840B.300d.zip HOT 2
- how to predict answers for custom question and context by reusing loaded model HOT 1
- The embedding projection HOT 1
- mask_logits in layer.py HOT 1
- layer normalization in layer? HOT 3
- Inference on my machine differs from other machines I tested HOT 3
- Is this snippet in prepro.py correct HOT 1
- Training stops after some time HOT 9
- how to adapt it for squad2.0 dataset? HOT 1
- This repo cannot reproduce the result of original paper HOT 2
- RuntimeError('cannot join current thread',) in <object repr() failed> HOT 1
- How do I resume training off a checkpoint? HOT 1
- how to train by changing/adding batch_size?
- Parameter setting problem
- conv_block problem
- problem about highwaynet
- why did u add this kind of dropout in every residual block HOT 1
- ValueError: could not convert string to float: 'bewildered'
- Predict
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