language:
- es
license: cc0-1.0
datasets:
- aarimond/test_elf_data
metrics:
- accuracy
widget:
- text: HIERBAS TUNEL SL
- text: BIOQUIM SA
- text: PATRIMONI MUNICIPAL DE TERRASSA S.L.(SOCIEDAD UNIPERSONAL)
- text: BBVA CREDITO EUROPA, FI
- text: HERENCIA YACENTE DE DOÑA M TERESA PENINA RIBAS
- text: FUNDACIO CATALANA PER A LA RECERCA I LA INNOVACIO
- text: KUTXABANK RENTA FIJA FP
- text: DAMAS DE LA ASUNCION
- text: CUDOS I SLP
- text: ASOCIACION PARA EL ESTUDIO DE LAS ENFERMEDADES INFECCIOSAS
- text: MERTAIZAN SOC. COOP. DE C-LM
- text: ANYMIAN CAPITAL SICAV SA
- text: CAIXABANK MASTER RENTA FIJA DEUDA PUBLICA 3-7, FI
- text: SHERPA CAPITAL II FCR
- text: >-
COLEGIO OFICIAL DE APAREJADORES Y ARQUITECTOS TECNICOS E INGENIEROS DE
EDIFICACION DE VALENCIA
- text: COTA GEMA, S.L.L.
- text: MEJORA Y CULTIVO AGRARIO SAT
- text: Desarrollo de negocios online SL
- text: MUTUALIDAD DE PREVISION SOCIAL DEL NOROESTE
- text: CAJA RURAL DE ASTURIAS SOCIEDAD COOPERATIVA DE CREDITO
- text: ARCANO IMPACT PRIVATE EQUITY SCR, S.A.
- text: NUEVA AGRUPACION SOLAR LEBRIJA AIE
- text: UMAS UNION MUTUA ASISTENCIAL DE SEGUROS A PRIMA FIJA
- text: CARTONAJES LIMOUSIN SAL
- text: RC ARQUITECTURA I PROJECTE URBA S.C.P
- text: MORALEDA CACHO Y CIA S.R.C.
- text: AIDHOS ARQUITEC S.A.P.
- text: MAGRO BERNAL Y CIA S COM
- text: AVALIA ARAGON SGR
- text: ADDY NUÑEZ BELTRE
- text: Elite de Negocios Tecnológicos S.L.
- text: ALTAN IV GLOBAL IICIICIL
- text: COOPERATIVA DEL CAMPO DE SAN ROMAN DE LA LLANILLA
- text: EMILIO MARTINEZ Y FERNANDO HERRERO S.R.C.P.
- text: JOSE MIGUEL ECHAVARRI Y CIA SOCIEDAD COMANDITARIA
- text: ESPINOSA PARTNERS INVERSIONES, FI
- text: INCA SERVICIOS Y PROYECTOS DE INGENIERIA CIVIL SOCIEDAD ANONIMA
- text: UNIVEN CAPITAL SA SCR
- text: ALTAMAR X GLOBAL PRIVATE EQUITY PROGRAM FCR
Model Card for lenu_ES
This model allows to classify
Table of Contents
- Model Card for lenu_ES
- Table of Contents
- Table of Contents
- Model Details
- Uses
- Bias, Risks, and Limitations
- Training Details
- Evaluation
- Model Examination
- Environmental Impact
- Technical Specifications [optional]
- Citation
- Glossary [optional]
- More Information [optional]
- Model Card Authors [optional]
- Model Card Contact
- How to Get Started with the Model
Model Details
Model Description
This model allows to classify
- Developed by: More information needed
- Shared by [Optional]: More information needed
- Model type: Language model
- Language(s) (NLP): es
- License: cc0-1.0
- Parent Model: More information needed
- Resources for more information: More information needed
Uses
Direct Use
Downstream Use [Optional]
Out-of-Scope Use
Bias, Risks, and Limitations
Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups.
Recommendations
Training Details
Training Data
More information on training data needed
Training Procedure
Preprocessing
More information needed
Speeds, Sizes, Times
More information needed
Evaluation
Testing Data, Factors & Metrics
Testing Data
More information needed
Factors
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Metrics
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Results
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Model Examination
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: More information needed
- Hours used: More information needed
- Cloud Provider: More information needed
- Compute Region: More information needed
- Carbon Emitted: More information needed
Technical Specifications [optional]
Model Architecture and Objective
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Compute Infrastructure
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Hardware
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Software
More information needed
Citation
BibTeX:
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APA:
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Glossary [optional]
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More Information [optional]
More information needed
Model Card Authors [optional]
a, a, r, i, m, o, n, d
Model Card Contact
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How to Get Started with the Model
Use the code below to get started with the model.