Comments (3)
Hi Sam. Unfortunately, this isn't supported (or at least I don't know how to do it). The easiest way would probably be to get a linux machine from a cloud provider
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@mandarjoshi90 Thanks. Have you talked to the folks behind https://github.com/huggingface/neuralcoref or Huggingface at all? it seems like there's so much overlap between projects.
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Right. Coreference Resolution is a fairly popular problem in NLP, and there are multiple systems which deal with it. This repo contains research code for reproducing results from our paper and is not intended to be a user-facing solution :)
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Related Issues (20)
- Has anyone got this to work? HOT 3
- How to specify paths correctly? HOT 1
- why not pytorch code for that?
- How to evaluate SpanBERT using sample test data? HOT 3
- assert num_words == np.sum(input_mask), (num_words, np.sum(input_mask))
- Found too many repeated mentions (> 10) in the response, so refusing to score
- Requirements txt is broken
- libprotobuf FATAL : CHECK failed: it != end(): key not found
- converting predicted (subtoken) output to normal text HOT 1
- Num_docs and evaluating docs
- Predicting singletons HOT 1
- Does this model apply to Chinese data๏ผ HOT 2
- Too many errors while installing requirements HOT 1
- Custom training data for BERT
- Has anyone reproduced successfully on windows?
- can anyone explain why the execution kept stuck here without generating any error or something else ?
- how can i choose the batch size, in which code file should I modify ?
- can anyone help me with the gpu configuration? it works well on cpu but when i turn to the model to run on gpu it opens succefully all the related libraries but crashes it some step
- Sentence index when splitting long sentences into non-overlapping chunks
- F1 79.96 on ontonotes 5 with your pretrained spanbert_large HOT 1
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