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## How to reproduce the behaviour
I cannot reproduce the same results when training a NER model using GPU in Google Colab.
When running the same code with CPU it seems to work.
However, when enab…
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### Question
Hi, I am interested in doing Multi-task learning for NER and Sentence classification on a custom dataset. I was trying to find some tutorials or starting points but could not find any. C…
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Is it true ? I chang the embeddingsPath = 'reimers_german_embeddings.gz' to embeddingsPath = 'komninos_english_embeddings.gz'
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- [x] Migrate training API from older code
- [ ] Factual Data (Dataset) vs Model Training Dataset - Admin panel should transform
- [x] Difference in a dataset (like a git difference) (doesnt need t…
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Hi, thanks for developing such a great tool.
Just wondering if you could add an example for training GPT-3 for Named Entity Recognition (NER) tasks?
I'm not sure how I can use the add_example f…
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Hi @asahi417, in one of my projects, I am using different NLP models including NER, sentiment, and other text classifiers.
The models are all based on PyTorch. Currently, need to make one docker ima…
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We will be using Spacy for NER already. If it can do Doc2Vec as well, that should save some resources.
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Hello and thanks for sharing your model to the world.
Can you please tell me how exactly can we use your NER model after training? We want to input a sentence and output the IOB2 tags.
Thanks!
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In #75 @fsasaki suggested to use the TIKA nifconverter without a pipeline. So with a single API call with informat=TIKAFile can convert e.g. PDF to Turtle and enrich it.
This will require us to wri…
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Hi, how can I use ner_results to save words and their labels?
example = 'علی به مدرسه رفت.'
ner_results = nlp(example)
print(ner_results)
it prints: [{'entity': 'B-PER', 'score': 0.9991002, 'i…