sentence-transformers How to use aaa961/finetuned-bge-base-en-firefox with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("aaa961/finetuned-bge-base-en-firefox")
sentences = [
"Tab previews often seem to be captured too early Quite often when I look at tab previews I find a preview that looks half rendered. Maybe the screenshot was taking while the page was still loading or something? Here is an example of the preview for WhatsApp's web interface. I see this for other sites too but WhatsApp seems to be reasonably reproducible.",
"Firefox should not fetch keys in oauth flows even if it gets the keyFetchToken The FxA server was accidentally sending us its keyFetchToken during oauth flows. This caused a race between who was going to use it. While a PR for that has been merged in FxA, we still might as well avoid even trying to use the token if we get it some how.",
"Tab doesn't receive focus outline on keyboard navigation I don't yet have good steps to reproduce but while using the keyboard to navigate tabs, sometimes one of my tabs doesn't get the focus outline. \n\nTo reproduce, open several tabs and navigate to the tab strip with the keyboard by focusing the addressbar (ctrl+L) and hitting shift+tab a few times. Then arrow through your tabs and notice that one of them doesn't get the focus indicator.\n\nI'm missing some step because I can't consistently reproduce but I've seen it several times now so getting a bug on file.",
"Options menu no longer accepts mouse click after changing default zoom. STR:\n* Open Options Menu\n* Change default zoom from 100% to 90%\n\nExpected Behavior:\n* Zoom is applied in options menu and user is able to interact further with Options menu\n\nActual behavior (Firefox 77.0a1 20200407214402):\n* Zoom is applied in options menu, but user is no longer able to interact with Options menu using mouse. Clicking any button/dropdown/... no longer works.\nUsing keyboard (tab to navigate options) still works."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
