Comments (6)
To my limited knowledge, using this license is standard practice at FAIR. I don't work at FAIR anymore, so take that with a pinch of salt.
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On another note. It is really cool work - so thanks for that ;)
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Hey, I don't work for FAIR, but in the past what I have seen them do: release under this restrictive license, then if the project gets enough attention, transition to BSD/Apache2/MIT.
FWIW, some FB leadership has said that they don't enforce the licenses (source: Yann LeCun says this in this interview).
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Hey,
Thanks @sam-qordoba for the analysis. Hopefully they will start doing BSD/MIT/Apache2 (or even GPL ;) ) from the beginning in the future.
--> Re: leadership, one thing is saying it, other thing is not doing it.
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@mandarjoshi90 @danqi Could you share why this license was used? huggingface also used Apache2: https://github.com/huggingface/transformers/blob/master/LICENSE
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To my limited knowledge, using this license is standard practice at FAIR. I don't work at FAIR anymore, so take that with a pinch of salt.
Thank you for your cool work.
Could you transfer this CC-BY-NC-SA license to Apache2.0 or BSD or MIT?
I want to use spanbert instead of Bert, but the company's scan tool configuration(like black duck) does not allow this kind of license....
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Related Issues (20)
- What 's in train.txt and valid.txt these two files during preprocessing HOT 1
- Getting embeddings for spans
- How should i use train.py to load a SpanBERT model and continue pretraining it? HOT 2
- Could you provide uncased SpanBert? HOT 3
- spanBERT for Named Entity Recognition HOT 3
- About "Tokenization Step"
- About the pre-training train-test ratio
- How can i use the SpanBert to predict a span of tokens in some specific contex?
- continue pretraining HOT 1
- continue pretraining HOT 1
- TypeError: __new__() got multiple values for argument 'cls' HOT 3
- how to train spanBert NER ?
- How to continually pretrain SpanBERT starting from a model checkpoint? HOT 1
- pre-train model load failture
- Use existing pretrained model for retraining using SpanBERT
- MRQA datasets split
- Progress in Pretraining
- How to train model by changing the number of layers in the model?
- pretrained model
- Use spanbert model for Named Entity Recognition to predict on data
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