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I have a text classification problem where I need to classify text into one of 4 categories. I would like to use sbert but read that crossencoder only takes pair input.
How do I go about doing this…
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I would like to compute sentence embeddings. Are any of your pretrained models suitable for that? I want to use the Sentence Transformer (https://www.sbert.net/examples/applications/computing-embeddin…
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ConnectionError(e, request=request)
requests.exceptions.ConnectionError: HTTPSConnectionPool(host='sbert.net', port=443): Max retries exceeded with url: /models/distilbert-base-nli-stsb-mean-tokens.z…
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Hello,
I am reading this webpage https://sbert.net/docs/pretrained_models.html about model comparisons. I am a little confused with the "Performance Sentence Embeddings" and "Performance Semantic S…
njjry updated
9 months ago
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I experienced this with more than one model, but this is one example
https://huggingface.co/sentence-transformers/quora-distilbert-base
when pressing compute after adding a sentence to compare w…
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Hello !
First of all thank you for all the effort put into this package, it's truly great !
I'm currently using the pretrained SBERT model with mean-pooling. I was wondering if it was possible to …
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Hi,
Trying to load model `all-mpnet-base-v2` with `map_device="auto"`.
Following [this closed issue](https://github.com/UKPLab/sentence-transformers/issues/2435) I understand that it is possibl…
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Consider the detail constructure of your model, if i set the weights of two input part not share,
can i use it to question answer selection task?
Or you have some other advice to transform this netw…
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Instead of making output just from collected repositories (`final.csv`), let's include datasets as from our research paper:
* `d1-scores.csv`
* `d2-sbert.csv`
* `d3-e5.csv`
* `d4-embedv3.csv`
* `…
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When I ran Extras with the chromadb module enabled: python server.py --enable-modules=chromadb, an error occurred：
(extras) D:\AI_writer\SillyTavern-Launcher\SillyTavern-extras>python server.py --en…