-
I would Like to ask that are there a way to access to the text encoder for this model or I can just simply use the encoder directly from CLIP at the same Model type. BTW, I am so sory for creating an …
-
I trained supervised model using hs loss.
When I am trying to get predicted label by get_output_matrix()*sentence_vector I got irrelevant results compared to method predict. Is this because we have …
-
I am trying to generate a brief description of input images in English. For that purpose, I am using CNN and LSTM. So far, I am done with CNN module, in which I get a 4096-dimensional vector as the ou…
ghost updated
8 years ago
-
Hi,
I need to get the embeddings of a word or a phrase within a sentence. This sentence is the context of the word/phrase.
For example, I need the different embedding values of `big apple` in th…
-
This task involves automating the current 'precheck' stage which currently involves a human 'triage-er' to validate whether the student model already knows the information which a user is trying to te…
-
We need a fast way to find related documents to the given user query. I suggest a combination of:
- TF-IDF vector space or the enhanced BM25 to improve speed
- Sentence BERT to embed sentences of e…
-
I use spacy's transformer model for other purposes (such as NER), so re-using the same model made sense.
Looks like Spacy made some tweaks to their syntax which are breaking KeyBERT's spacy backend.
…
-
### System Info
Macbook Pro M1
Transformers.js V3
### Environment/Platform
- [X] Website/web-app
- [ ] Browser extension
- [ ] Server-side (e.g., Node.js, Deno, Bun)
- [ ] Desktop app (e.g., Elect…
-
### Bug Description
How to store, reuse the stored embeddings created by elastic search and denseX.
Below is one approach where I facing issues if I store them in dictionary and trying to send it.…
-
- Bi-Encoder는 기존 semantic search 방식으로, query와 target 문장을 각각 sentence vector화 시키고, cosine-similarity 등으로 탐색하는 방식
- Cross-Encoder는 query와 target 문장을 입력으로 넣고 유사도 자체를 모델 output으로 얻는 방식 (sentence vector …