Comments (3)
Sorry, it took me so long. It is currently a requirement of 512 tokens per sentence. It can handle any number of sentences (memory constrained of course), but the sentence needs to be less than 512 tokens.
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Yeah, I think that is correct, but I will have to double check.
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Thanks. Please let me know.
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Related Issues (20)
- unable to build on Mac m1 - Big Sur HOT 1
- ValueError: n_samples=4 should be >= n_clusters=40 HOT 1
- how to save model as pkl.file for deploying
- "from summarizer import Summaizer" HOT 1
- training custom model HOT 1
- can you please provide english.json file ,i was having issue that trainer folder is not there
- AWS Lambda + Container issue with model loading as /home is read only HOT 1
- Error when running xlnet for individual paragraphs on linux using gpu
- Reproducibility bug on run_embeddings method
- Don't load the SBERT model twice
- Which kind of model should I choose?
- How to use cached sentence embedding vector as the input instead of text?
- How to support Japaneses
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- TypeError: 'Summarizer' object is not callable
- Run Summarizer model on array of strings HOT 2
- Trying to mimic the API's result
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- cannot import name summarizer HOT 1
- Need a way to force load on CPU when an unsupported GPU throws a pytorch error.
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