
## Usage:
from sentence_transformers.cross_encoder import CrossEncoder

model = CrossEncoder('Hammad7/plag-col-rev-en-v2')

model.predict(["duplicate first paragraph","original second paragraph"])
{"language": ["en"], "license": "apache-2.0", "tags": ["plagiarism", "cross-encoder"]}
transformers pytorch bert text-classification plagiarism cross-encoder en license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #plagiarism #cross-encoder #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 


## Usage:
from sentence_transformers.cross_encoder import CrossEncoder

model = CrossEncoder('Hammad7/plag-col-rev-en-v2')

model.predict(["duplicate first paragraph","original second paragraph"])
## Usage:
from sentence_transformers.cross_encoder import CrossEncoder

model = CrossEncoder('Hammad7/plag-col-rev-en-v2')

model.predict(["duplicate first paragraph","original second paragraph"])
TAGS
#transformers #pytorch #bert #text-classification #plagiarism #cross-encoder #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ## Usage:
from sentence_transformers.cross_encoder import CrossEncoder

model = CrossEncoder('Hammad7/plag-col-rev-en-v2')

model.predict(["duplicate first paragraph","original second paragraph"])
passage: TAGS
#transformers #pytorch #bert #text-classification #plagiarism #cross-encoder #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
## Usage:
from sentence_transformers.cross_encoder import CrossEncoder

model = CrossEncoder('Hammad7/plag-col-rev-en-v2')

model.predict(["duplicate first paragraph","original second paragraph"])