Token Classification
spaCy
Spanish
named-entity-recognition
spanish
music
digital-humanities
historical-text
bert
Eval Results (legacy)
Instructions to use LexiMusUSAL/LexiMus-BETO-per-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use LexiMusUSAL/LexiMus-BETO-per-v1 with spaCy:
!pip install https://huggingface.co/LexiMusUSAL/LexiMus-BETO-per-v1/resolve/main/LexiMus-BETO-per-v1-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("LexiMus-BETO-per-v1") # Importing as module. import LexiMus-BETO-per-v1 nlp = LexiMus-BETO-per-v1.load() - Notebooks
- Google Colab
- Kaggle
| ��moves�q{"0":{"":238953},"1":{"":189809},"2":{"case":60966,"det":59749,"punct":22432,"nsubj":19796,"mark":15348,"cc":12191,"advmod":10290,"amod":6565,"aux":6004,"obl":5063,"cop":4406,"obj":3787,"nummod":3315,"expl:pv":2017,"expl:pass":1622,"advcl":1139,"iobj":909,"ccomp":887,"nmod":717,"csubj":327,"expl:impers":283,"parataxis":231,"xcomp":128,"nsubj||conj":117,"mark||conj":81,"advmod||conj":80,"obl||conj":47,"obj||conj":42,"advcl||xcomp":33,"dep":0},"3":{"nmod":30556,"punct":30475,"obj":21347,"amod":17245,"obl":14467,"conj":13228,"flat":11632,"acl":8527,"advcl":6063,"appos":6062,"fixed":6049,"advmod":4992,"nsubj":4098,"ccomp":4054,"xcomp":3243,"compound":1968,"nummod":1206,"case":1076,"det":744,"iobj":687,"csubj":669,"parataxis":297,"mark":144,"aux":137,"cop":133,"flat||det":73,"advcl||xcomp":70,"conj||xcomp":56,"appos||det":39,"obj||xcomp":38,"dep":0},"4":{"":81530,"ROOT":0}}�cfg��neg_key� |