Comments (4)
aconneau
commented on June 18, 2024
Yes it's possible, check out those two lines:
model = torch.load('infersent.allnli.pickle', map_location=lambda storage, loc: storage) model.use_cuda = False
in https://github.com/facebookresearch/InferSent/blob/master/encoder/play.ipynb
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jattenberg
commented on June 18, 2024
D'OH! should have read a few lines ahead. thanks 👍
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aconneau
commented on June 18, 2024
So did it work in your case? (just for the record)
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jattenberg
commented on June 18, 2024
encountering a few unrelated issues getting things working in my MBP, (i can submit a PR once i work through everything)
- default sed location not set correctly
- issues unzipping glove vectors
maybe others. i'll just keep pushing through.
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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
- How can I train a model or modify the network to do it?
- adding train_nli back
- Error while loading the pretrained model HOT 1
- Usage on Google Collab HOT 2
- Same sentence, different encoding! HOT 1
- Can you save a model with vocab? HOT 1
- RuntimeError: [enforce fail at CPUAllocator.cpp:64] . DefaultCPUAllocator: can't allocate memory: you tried to allocate 24776638464 bytes. Error code 12 (Cannot allocate memory)
- Cuda by Default
- Does this work anymore? HOT 2
- Vector Concatenation Question
- InferSent for Spanish
- ModuleNotFoundError: No module named 'models' HOT 1
- Infersent for Indian language
- How we fine tune inferSent for calassification problem like sentiment analysisi?
- KeyError: '</s>'
- extract features Infersent error HOT 1
- inconsistent sentences length causes encoding failure
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