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--- |
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license: mit |
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language: |
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- en |
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tags: |
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- mteb |
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- sparse |
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- sparsity |
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- quantized |
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- onnx |
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- embeddings |
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- int8 |
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- deepsparse |
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model-index: |
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- name: bge-base-en-v1.5-quant |
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results: |
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- task: |
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type: Classification |
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dataset: |
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type: mteb/amazon_counterfactual |
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name: MTEB AmazonCounterfactualClassification (en) |
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config: en |
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split: test |
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revision: e8379541af4e31359cca9fbcf4b00f2671dba205 |
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metrics: |
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- type: accuracy |
|
value: 76.16417910447761 |
|
- type: ap |
|
value: 39.62965026785565 |
|
- type: f1 |
|
value: 70.30041589476463 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_polarity |
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name: MTEB AmazonPolarityClassification |
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config: default |
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split: test |
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revision: e2d317d38cd51312af73b3d32a06d1a08b442046 |
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metrics: |
|
- type: accuracy |
|
value: 92.95087500000001 |
|
- type: ap |
|
value: 89.92451248271642 |
|
- type: f1 |
|
value: 92.94162732408543 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_reviews_multi |
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name: MTEB AmazonReviewsClassification (en) |
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config: en |
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split: test |
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revision: 1399c76144fd37290681b995c656ef9b2e06e26d |
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metrics: |
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- type: accuracy |
|
value: 48.214 |
|
- type: f1 |
|
value: 47.57084372829096 |
|
- task: |
|
type: Clustering |
|
dataset: |
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type: mteb/arxiv-clustering-p2p |
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name: MTEB ArxivClusteringP2P |
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config: default |
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split: test |
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revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
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metrics: |
|
- type: v_measure |
|
value: 48.499816497755646 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/arxiv-clustering-s2s |
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name: MTEB ArxivClusteringS2S |
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config: default |
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split: test |
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revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
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metrics: |
|
- type: v_measure |
|
value: 42.006939120636034 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/askubuntudupquestions-reranking |
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name: MTEB AskUbuntuDupQuestions |
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config: default |
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split: test |
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revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 |
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metrics: |
|
- type: map |
|
value: 62.390343953329875 |
|
- type: mrr |
|
value: 75.69922613551422 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/biosses-sts |
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name: MTEB BIOSSES |
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config: default |
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split: test |
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revision: d3fb88f8f02e40887cd149695127462bbcf29b4a |
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metrics: |
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- type: cos_sim_pearson |
|
value: 89.03408553833623 |
|
- type: cos_sim_spearman |
|
value: 86.71221676053791 |
|
- type: euclidean_pearson |
|
value: 87.81477796215844 |
|
- type: euclidean_spearman |
|
value: 87.28994076774481 |
|
- type: manhattan_pearson |
|
value: 87.76204756059836 |
|
- type: manhattan_spearman |
|
value: 87.1971675695072 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/banking77 |
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name: MTEB Banking77Classification |
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config: default |
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split: test |
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revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 |
|
metrics: |
|
- type: accuracy |
|
value: 86.35064935064935 |
|
- type: f1 |
|
value: 86.32782396028989 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/biorxiv-clustering-p2p |
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name: MTEB BiorxivClusteringP2P |
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config: default |
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split: test |
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revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
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metrics: |
|
- type: v_measure |
|
value: 39.299558776859485 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/biorxiv-clustering-s2s |
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name: MTEB BiorxivClusteringS2S |
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config: default |
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split: test |
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revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 |
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metrics: |
|
- type: v_measure |
|
value: 35.64603198816062 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/emotion |
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name: MTEB EmotionClassification |
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config: default |
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split: test |
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revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
|
metrics: |
|
- type: accuracy |
|
value: 51.269999999999996 |
|
- type: f1 |
|
value: 45.9714399031315 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/imdb |
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name: MTEB ImdbClassification |
|
config: default |
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split: test |
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revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
|
metrics: |
|
- type: accuracy |
|
value: 89.7204 |
|
- type: ap |
|
value: 85.70238397381907 |
|
- type: f1 |
|
value: 89.70961232185473 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/mtop_domain |
|
name: MTEB MTOPDomainClassification (en) |
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config: en |
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split: test |
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revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
|
metrics: |
|
- type: accuracy |
|
value: 93.95120839033288 |
|
- type: f1 |
|
value: 93.70348712248138 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/mtop_intent |
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name: MTEB MTOPIntentClassification (en) |
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config: en |
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split: test |
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revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
|
metrics: |
|
- type: accuracy |
|
value: 75.25763793889648 |
|
- type: f1 |
|
value: 57.59583082574482 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_massive_intent |
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name: MTEB MassiveIntentClassification (en) |
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config: en |
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split: test |
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revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 |
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metrics: |
|
- type: accuracy |
|
value: 75.16476126429052 |
|
- type: f1 |
|
value: 73.29287381030854 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_massive_scenario |
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name: MTEB MassiveScenarioClassification (en) |
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config: en |
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split: test |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634 |
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metrics: |
|
- type: accuracy |
|
value: 78.9340954942838 |
|
- type: f1 |
|
value: 79.04036413238218 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/medrxiv-clustering-p2p |
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name: MTEB MedrxivClusteringP2P |
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config: default |
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split: test |
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revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
|
metrics: |
|
- type: v_measure |
|
value: 32.80025982143821 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/medrxiv-clustering-s2s |
|
name: MTEB MedrxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 |
|
metrics: |
|
- type: v_measure |
|
value: 30.956464446009623 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/mind_small |
|
name: MTEB MindSmallReranking |
|
config: default |
|
split: test |
|
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 |
|
metrics: |
|
- type: map |
|
value: 31.886626060290734 |
|
- type: mrr |
|
value: 32.99813843700759 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/reddit-clustering |
|
name: MTEB RedditClustering |
|
config: default |
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split: test |
|
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb |
|
metrics: |
|
- type: v_measure |
|
value: 55.693914682185365 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/reddit-clustering-p2p |
|
name: MTEB RedditClusteringP2P |
|
config: default |
|
split: test |
|
revision: 282350215ef01743dc01b456c7f5241fa8937f16 |
|
metrics: |
|
- type: v_measure |
|
value: 62.32723620518647 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sickr-sts |
|
name: MTEB SICK-R |
|
config: default |
|
split: test |
|
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 84.70275347034692 |
|
- type: cos_sim_spearman |
|
value: 80.06126639668393 |
|
- type: euclidean_pearson |
|
value: 82.18370726102707 |
|
- type: euclidean_spearman |
|
value: 80.05483013524909 |
|
- type: manhattan_pearson |
|
value: 82.11962032129463 |
|
- type: manhattan_spearman |
|
value: 79.97174232961949 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts12-sts |
|
name: MTEB STS12 |
|
config: default |
|
split: test |
|
revision: a0d554a64d88156834ff5ae9920b964011b16384 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 86.08210281025868 |
|
- type: cos_sim_spearman |
|
value: 77.75002826042643 |
|
- type: euclidean_pearson |
|
value: 83.06487161944293 |
|
- type: euclidean_spearman |
|
value: 78.0677956304104 |
|
- type: manhattan_pearson |
|
value: 83.04321232787379 |
|
- type: manhattan_spearman |
|
value: 78.09582483148635 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts13-sts |
|
name: MTEB STS13 |
|
config: default |
|
split: test |
|
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 84.64353592106988 |
|
- type: cos_sim_spearman |
|
value: 86.07934653140616 |
|
- type: euclidean_pearson |
|
value: 85.21820182954883 |
|
- type: euclidean_spearman |
|
value: 86.18828773665395 |
|
- type: manhattan_pearson |
|
value: 85.12075207905364 |
|
- type: manhattan_spearman |
|
value: 86.12061116344299 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts14-sts |
|
name: MTEB STS14 |
|
config: default |
|
split: test |
|
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 84.33571296969136 |
|
- type: cos_sim_spearman |
|
value: 82.8868213429789 |
|
- type: euclidean_pearson |
|
value: 83.65476643152161 |
|
- type: euclidean_spearman |
|
value: 82.76439753890263 |
|
- type: manhattan_pearson |
|
value: 83.63348951033883 |
|
- type: manhattan_spearman |
|
value: 82.76176495070241 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts15-sts |
|
name: MTEB STS15 |
|
config: default |
|
split: test |
|
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 87.6337321089215 |
|
- type: cos_sim_spearman |
|
value: 88.54453531860615 |
|
- type: euclidean_pearson |
|
value: 87.68754116644199 |
|
- type: euclidean_spearman |
|
value: 88.22610830299979 |
|
- type: manhattan_pearson |
|
value: 87.62214887890859 |
|
- type: manhattan_spearman |
|
value: 88.14766677391091 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts16-sts |
|
name: MTEB STS16 |
|
config: default |
|
split: test |
|
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 83.89742747806514 |
|
- type: cos_sim_spearman |
|
value: 85.76282302560992 |
|
- type: euclidean_pearson |
|
value: 84.83917251074928 |
|
- type: euclidean_spearman |
|
value: 85.74354740775905 |
|
- type: manhattan_pearson |
|
value: 84.91190952448616 |
|
- type: manhattan_spearman |
|
value: 85.82001542154245 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts17-crosslingual-sts |
|
name: MTEB STS17 (en-en) |
|
config: en-en |
|
split: test |
|
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 87.70974342036347 |
|
- type: cos_sim_spearman |
|
value: 87.82200371351459 |
|
- type: euclidean_pearson |
|
value: 88.04095125600278 |
|
- type: euclidean_spearman |
|
value: 87.5069523002544 |
|
- type: manhattan_pearson |
|
value: 88.03247709799281 |
|
- type: manhattan_spearman |
|
value: 87.43433979175654 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts22-crosslingual-sts |
|
name: MTEB STS22 (en) |
|
config: en |
|
split: test |
|
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 65.0349727703108 |
|
- type: cos_sim_spearman |
|
value: 65.46090125254047 |
|
- type: euclidean_pearson |
|
value: 66.75349075443432 |
|
- type: euclidean_spearman |
|
value: 65.57576680702924 |
|
- type: manhattan_pearson |
|
value: 66.72598998285412 |
|
- type: manhattan_spearman |
|
value: 65.63446184311414 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/stsbenchmark-sts |
|
name: MTEB STSBenchmark |
|
config: default |
|
split: test |
|
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 85.18026134463653 |
|
- type: cos_sim_spearman |
|
value: 86.79430055943524 |
|
- type: euclidean_pearson |
|
value: 86.2668626122386 |
|
- type: euclidean_spearman |
|
value: 86.72288498504841 |
|
- type: manhattan_pearson |
|
value: 86.28615540445857 |
|
- type: manhattan_spearman |
|
value: 86.7110630606802 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/scidocs-reranking |
|
name: MTEB SciDocsRR |
|
config: default |
|
split: test |
|
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab |
|
metrics: |
|
- type: map |
|
value: 87.05335415919195 |
|
- type: mrr |
|
value: 96.27455968142243 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/sprintduplicatequestions-pairclassification |
|
name: MTEB SprintDuplicateQuestions |
|
config: default |
|
split: test |
|
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 99.84653465346534 |
|
- type: cos_sim_ap |
|
value: 96.38115549823692 |
|
- type: cos_sim_f1 |
|
value: 92.15983813859383 |
|
- type: cos_sim_precision |
|
value: 93.24462640736951 |
|
- type: cos_sim_recall |
|
value: 91.10000000000001 |
|
- type: dot_accuracy |
|
value: 99.81782178217821 |
|
- type: dot_ap |
|
value: 95.65732630933346 |
|
- type: dot_f1 |
|
value: 90.68825910931176 |
|
- type: dot_precision |
|
value: 91.80327868852459 |
|
- type: dot_recall |
|
value: 89.60000000000001 |
|
- type: euclidean_accuracy |
|
value: 99.84653465346534 |
|
- type: euclidean_ap |
|
value: 96.34134720479366 |
|
- type: euclidean_f1 |
|
value: 92.1756688541141 |
|
- type: euclidean_precision |
|
value: 93.06829765545362 |
|
- type: euclidean_recall |
|
value: 91.3 |
|
- type: manhattan_accuracy |
|
value: 99.84356435643565 |
|
- type: manhattan_ap |
|
value: 96.38165573090185 |
|
- type: manhattan_f1 |
|
value: 92.07622868605819 |
|
- type: manhattan_precision |
|
value: 92.35412474849095 |
|
- type: manhattan_recall |
|
value: 91.8 |
|
- type: max_accuracy |
|
value: 99.84653465346534 |
|
- type: max_ap |
|
value: 96.38165573090185 |
|
- type: max_f1 |
|
value: 92.1756688541141 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/stackexchange-clustering |
|
name: MTEB StackExchangeClustering |
|
config: default |
|
split: test |
|
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
|
metrics: |
|
- type: v_measure |
|
value: 64.81205738681385 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/stackexchange-clustering-p2p |
|
name: MTEB StackExchangeClusteringP2P |
|
config: default |
|
split: test |
|
revision: 815ca46b2622cec33ccafc3735d572c266efdb44 |
|
metrics: |
|
- type: v_measure |
|
value: 34.083934029129445 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/stackoverflowdupquestions-reranking |
|
name: MTEB StackOverflowDupQuestions |
|
config: default |
|
split: test |
|
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 |
|
metrics: |
|
- type: map |
|
value: 54.447346270481376 |
|
- type: mrr |
|
value: 55.382382119514475 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/toxic_conversations_50k |
|
name: MTEB ToxicConversationsClassification |
|
config: default |
|
split: test |
|
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c |
|
metrics: |
|
- type: accuracy |
|
value: 72.123 |
|
- type: ap |
|
value: 14.396060207954983 |
|
- type: f1 |
|
value: 55.24344377812756 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/tweet_sentiment_extraction |
|
name: MTEB TweetSentimentExtractionClassification |
|
config: default |
|
split: test |
|
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
|
metrics: |
|
- type: accuracy |
|
value: 59.67176004527447 |
|
- type: f1 |
|
value: 59.97320225890037 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/twentynewsgroups-clustering |
|
name: MTEB TwentyNewsgroupsClustering |
|
config: default |
|
split: test |
|
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
|
metrics: |
|
- type: v_measure |
|
value: 49.50190094208029 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/twittersemeval2015-pairclassification |
|
name: MTEB TwitterSemEval2015 |
|
config: default |
|
split: test |
|
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 86.70799308577219 |
|
- type: cos_sim_ap |
|
value: 76.40980707197174 |
|
- type: cos_sim_f1 |
|
value: 70.64264849074976 |
|
- type: cos_sim_precision |
|
value: 65.56710347943967 |
|
- type: cos_sim_recall |
|
value: 76.56992084432717 |
|
- type: dot_accuracy |
|
value: 85.75430649102938 |
|
- type: dot_ap |
|
value: 72.68783978286282 |
|
- type: dot_f1 |
|
value: 67.56951102588687 |
|
- type: dot_precision |
|
value: 61.90162494510321 |
|
- type: dot_recall |
|
value: 74.37994722955145 |
|
- type: euclidean_accuracy |
|
value: 86.70799308577219 |
|
- type: euclidean_ap |
|
value: 76.43046769325314 |
|
- type: euclidean_f1 |
|
value: 70.84852905421832 |
|
- type: euclidean_precision |
|
value: 65.68981064021641 |
|
- type: euclidean_recall |
|
value: 76.88654353562005 |
|
- type: manhattan_accuracy |
|
value: 86.70203254455504 |
|
- type: manhattan_ap |
|
value: 76.39254562413156 |
|
- type: manhattan_f1 |
|
value: 70.86557059961316 |
|
- type: manhattan_precision |
|
value: 65.39491298527443 |
|
- type: manhattan_recall |
|
value: 77.33509234828496 |
|
- type: max_accuracy |
|
value: 86.70799308577219 |
|
- type: max_ap |
|
value: 76.43046769325314 |
|
- type: max_f1 |
|
value: 70.86557059961316 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/twitterurlcorpus-pairclassification |
|
name: MTEB TwitterURLCorpus |
|
config: default |
|
split: test |
|
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 88.92381728567548 |
|
- type: cos_sim_ap |
|
value: 85.92532857788025 |
|
- type: cos_sim_f1 |
|
value: 78.11970128792525 |
|
- type: cos_sim_precision |
|
value: 73.49806530445998 |
|
- type: cos_sim_recall |
|
value: 83.3615645210964 |
|
- type: dot_accuracy |
|
value: 88.28540381107618 |
|
- type: dot_ap |
|
value: 84.42890126108796 |
|
- type: dot_f1 |
|
value: 76.98401162790698 |
|
- type: dot_precision |
|
value: 72.89430222956234 |
|
- type: dot_recall |
|
value: 81.55990144748999 |
|
- type: euclidean_accuracy |
|
value: 88.95874568246207 |
|
- type: euclidean_ap |
|
value: 85.88338025133037 |
|
- type: euclidean_f1 |
|
value: 78.14740888593184 |
|
- type: euclidean_precision |
|
value: 75.15285084601166 |
|
- type: euclidean_recall |
|
value: 81.3905143209116 |
|
- type: manhattan_accuracy |
|
value: 88.92769821865176 |
|
- type: manhattan_ap |
|
value: 85.84824183217555 |
|
- type: manhattan_f1 |
|
value: 77.9830582736965 |
|
- type: manhattan_precision |
|
value: 74.15972222222223 |
|
- type: manhattan_recall |
|
value: 82.22205112411457 |
|
- type: max_accuracy |
|
value: 88.95874568246207 |
|
- type: max_ap |
|
value: 85.92532857788025 |
|
- type: max_f1 |
|
value: 78.14740888593184 |
|
--- |
|
|
|
# bge-base-en-v1.5-quant |
|
|
|
<div> |
|
<img src="https://huggingface.co/zeroshot/bge-base-en-v1.5-quant/resolve/main/bge-base-latency.png" alt="latency" width="500" style="display:inline-block; margin-right:10px;"/> |
|
</div> |
|
|
|
[DeepSparse](https://github.com/neuralmagic/deepsparse) is able to improve latency performance on a 10 core laptop and a 16 core AWS instance by up to 4.5X. |
|
|
|
## Usage |
|
|
|
This is the quantized (INT8) ONNX variant of the [bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) embeddings model accelerated with [Sparsify](https://github.com/neuralmagic/sparsify) for quantization and [DeepSparseSentenceTransformers](https://github.com/neuralmagic/deepsparse/tree/main/src/deepsparse/sentence_transformers) for inference. |
|
|
|
```bash |
|
pip install -U deepsparse-nightly[sentence_transformers] |
|
``` |
|
|
|
```python |
|
from deepsparse.sentence_transformers import DeepSparseSentenceTransformer |
|
model = DeepSparseSentenceTransformer('neuralmagic/bge-base-en-v1.5-quant', export=False) |
|
|
|
# Our sentences we like to encode |
|
sentences = ['This framework generates embeddings for each input sentence', |
|
'Sentences are passed as a list of string.', |
|
'The quick brown fox jumps over the lazy dog.'] |
|
|
|
# Sentences are encoded by calling model.encode() |
|
embeddings = model.encode(sentences) |
|
|
|
# Print the embeddings |
|
for sentence, embedding in zip(sentences, embeddings): |
|
print("Sentence:", sentence) |
|
print("Embedding:", embedding.shape) |
|
print("") |
|
``` |
|
|
|
For general questions on these models and sparsification methods, reach out to the engineering team on our [community Slack](https://join.slack.com/t/discuss-neuralmagic/shared_invite/zt-q1a1cnvo-YBoICSIw3L1dmQpjBeDurQ). |