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### š The feature, motivation and pitch
Currently only cross-encoder models support the `/score` endpoint. But it would make sense to enable it also for the embedding models using bi-encoding, i.e. cā¦
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EMBEDDING_FILE = '/media/jlan/E/Projects/nlp/sentence_similarity/dataset/w2v_model.bin'
TRAIN_DATA_FILE = '/media/jlan/E/Projects/nlp/sentence_similarity/dataset/dataset.csv'
test_file = '/medā¦
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Hello, I am a Korean student who loves the work of sentence-transformers team.
I've used a lot of losses you made when finetuning an embedding model.
However, I thought that it will be nice if theā¦
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## š Bug
I would be expecting the following properties of BERTscore:
1) given a single list of sentences, and comparing all pairs as preds and targets, BERTscore should be maximum when the same seā¦
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Thanks a lot for open sourcing your excellent job. I would like to further fine-tune your model for comparing two sentences and getting their similarity scores. You guys made the MEDI dataset as a genā¦
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Hello, when I execute feature-based code, I report an error. What's going on? In addition, I would like to ask about EMB = "E: / h5py data / Bert"_ Does file / Bert "in config.py need to be downloadedā¦
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I load the model and try to predict the similarity between sentence A and sentence B. when I change the order of these sentences (i change the place of sentence A and B and swapped them), i get differā¦
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Hello,
Thanks for the great work. I wanted to use the initial example on the `README.md`:
```python
from datasets import load_dataset
from setfit import SetFitModel, Trainer, TrainingArgumentā¦
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Hi Nils,
I have English, Chinese and Indonesian text data for semantic search use case.
I have sentence pairs with different language combinations and similarity score.
I tried pretrained Xlm-r seā¦
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I've been looking for up-to-date information about how various pre-trained models compare for clustering and topic modeling with BERTopic ā rather than semantic search which is all the rage these daysā¦