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in dataset_load.py, line 376 "tokenizer_name = '/home/duhw/pretrain_model/sbert/'"
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Like the title, `pip install polyfuzz[sbert]` won't work with Python 3.12. I think it's because sentence-transformers require transformers
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# Allow Vectors Other than SBERT
Some of our features require vectorizing the chat data; by default, we use SBERT vectors, and we have a utility that checks that the embeddings exist in the appropria…
xehu updated
2 months ago
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Hi, I'm trying to access the evaluation results of the model `all-mpnet-base-v2` through https://seb.sbert.net, as indicated in the [model card](https://huggingface.co/sentence-transformers/all-mpnet-…
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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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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…
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I'm looking for quantize the embeddings to speed up the process of indexing / searching / etc.
For example in `sentence_transformers` there is [quantize_embeddings](https://sbert.net/docs/package_r…
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## Retriever에 관한 작업에서는 아래와 같은 중요한 매개변수가 존재한다.
![image](https://github.com/ssisOneTeam/Korean-Embedding-Model-Performance-Benchmark-for-Retriever/assets/32566767/3790e48b-7fb6-4c2a-afc1-cc1a08833899…
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Hello,
First of all thank you very much for this tool!
I am trying it out (on CPU) with the following code:
```python
DEVICE = os.environ.get("DEVICE", "cpu")
MODEL_NAME = 'sentence-transfo…