Comments (1)
Hi,
if you have multiple GPUs, I think that the solution you propose is indeed the best one.
Just separate your large corpus of 40M sentences to smaller chunks and run InferSent individually on this. Sorting the data so that you minimize the amount of padding and using large batches will also help here.
Best,
Alexis
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Related Issues (20)
- Can not train from scratch? HOT 1
- link for the pre-trained models? HOT 2
- Decode sentence embedding to sentence HOT 1
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- Error while loading the pretrained model HOT 1
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