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Hi
I went through the paper which proposes MRL (https://arxiv.org/pdf/2205.13147.pdf) where it says that the Weight matrix for the final feedforward layer which converts d vector to L class change…
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Currently, e-antic only deals with real embeddings of number fields. In some situations it would be convenient to use complex embeddings (eg cyclotomics) and access real/imaginary parts.
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I have done that with peft in the past with good and not so good results ;)
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**Is your feature request related to a problem? Please describe.**
Practitioners often split text documents into smaller chunks and embed them separately. However, chunk embeddings created in this wa…
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**User Story**
As a researcher working with embeddings, I want to be able to work with the common **h5** dataset format directly in biocentral so that I can import and store my embeddings in this…
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I'm using xinference and changed .env and settings.yaml
but start app.py still got error like this:
Exception while fetching openai_chat models: HTTPConnectionPool(host='localhost', port=11434)…
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Hello, we are trying to replicate the model with a custom dataset and we have got the checkpoint file for our dataset. I wanted to know how to use that to give input to the KGQA module. And how do I g…
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I am working on *pdf page classification*. I want to use https://github.com/UKPLab/sentence-transformers/blob/master/examples/training/quora_duplicate_questions/training_OnlineContrastiveLoss.py to ge…
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Hello folks,
I am doing a virality prediction task given a blog post and its title. The Sentence Transformer API looks cool as I could encode each sentence in the task and concatenate the sentence em…
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我看您写的那个triplet loss那里，建立的模型最后一层是是一个dense，这是全连接层，为啥这里叫embedding层了？在keras里面有一个embedding的函数，但是不懂具体的实现，在tensorflow里面也有相关的，embedding_lookup的函数，想问这里为啥这里输出就是embedding了