Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:120
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use dwb2023/legal-ft-a82f71f5-8c42-4661-905e-0fe5b0d3e637 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dwb2023/legal-ft-a82f71f5-8c42-4661-905e-0fe5b0d3e637 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dwb2023/legal-ft-a82f71f5-8c42-4661-905e-0fe5b0d3e637") sentences = [ "What muscles are primarily engaged during the described exercise sequence?", "they stay even like you've got a spirit\nlevel from left to right hip\nstabilizing through your torso and your\nshoulder girdle by imprinting the\nshoulders back and down but lifting the\npelvic floor and belly up pick your\nprogram here and then we're going to put\nthe headrest down we're going into\nsemicircle prep and reverse toes on the\nbar heels together so your feet are in a\nV position knees are hip bone width\napart you're going to tuck your tail\nunder roll up press the carriage out\nroll down through the spine maintaining\nthe carriage still and then return the\ncarriage back into the stopper try and\nkeep the carriage as close to the\nstopper as you can only push out sort of\n3/4 of the way so you can roll down and", "the silver Runner\nright foot is going mid-carriage\nhang those toes off to go right up\nagainst that edge and then coming up for\nthat full lunge if that feels good and\nwe're lunging down hips are staying\nequal and then up and squeeze\nhips are definitely getting a little\nmore tired on this side\nafter everything that we've done\nlunge it down\nand squeeze it up\ngood we're moving so slow both ways\ninhale down\nexhale up\nwe want to make sure our hips are equal\nfront to back and side to side so kind\nof check that with your hands you may\nnot have a mirror you can see\nso just kind of be aware of that\nit's going to help us get the most out\nof this work\nspread through your toes on that\nstanding leg\nyou're welcome to get a platform", "that back quad should be burning holding\nthe carriage still to\nhold it on one we are actually going to\nreach down to the bar you're gonna bring\nthe back leg in shoot it all the way out\nstraight\nfrom here hold it you're gonna jump off\nof your right leg bring the carriage in\nand Pike up\npulling the knee towards your chest\nand then place it back down so we're\ngonna do one runner in shoot it out hold\nit there and then jump off Pike\nand place it back down\nso again run push it out jump off the\nright leg Pike place it down good run in\nexhale squeeze Pike it up\nand down and this is where we get that\nheart rate up\nand that quad really burning\ngood so full body movement here\nshoulders\nchest\nare supporting big time in that Pike\ncore is working" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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