--- 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](#model-card-for--model_id-) - [Table of Contents](#table-of-contents) - [Table of Contents](#table-of-contents-1) - [Model Details](#model-details) - [Model Description](#model-description) - [Uses](#uses) - [Direct Use](#direct-use) - [Downstream Use [Optional]](#downstream-use-optional) - [Out-of-Scope Use](#out-of-scope-use) - [Bias, Risks, and Limitations](#bias-risks-and-limitations) - [Recommendations](#recommendations) - [Training Details](#training-details) - [Training Data](#training-data) - [Training Procedure](#training-procedure) - [Preprocessing](#preprocessing) - [Speeds, Sizes, Times](#speeds-sizes-times) - [Evaluation](#evaluation) - [Testing Data, Factors & Metrics](#testing-data-factors--metrics) - [Testing Data](#testing-data) - [Factors](#factors) - [Metrics](#metrics) - [Results](#results) - [Model Examination](#model-examination) - [Environmental Impact](#environmental-impact) - [Technical Specifications [optional]](#technical-specifications-optional) - [Model Architecture and Objective](#model-architecture-and-objective) - [Compute Infrastructure](#compute-infrastructure) - [Hardware](#hardware) - [Software](#software) - [Citation](#citation) - [Glossary [optional]](#glossary-optional) - [More Information [optional]](#more-information-optional) - [Model Card Authors [optional]](#model-card-authors-optional) - [Model Card Contact](#model-card-contact) - [How to Get Started with the Model](#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 - [GitHub Repo](Sociovestix/lenu) # 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)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)). 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 More information needed ### Metrics More information needed ## Results More information needed # Model Examination More information needed # Environmental Impact Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **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 More information needed ## Compute Infrastructure More information needed ### Hardware More information needed ### Software More information needed # Citation **BibTeX:** More information needed **APA:** More information needed # Glossary [optional] More information needed # More Information [optional] More information needed # Model Card Authors [optional] a, a, r, i, m, o, n, d # Model Card Contact More information needed # How to Get Started with the Model Use the code below to get started with the model.
Click to expand # ⚠️ Type of model unknown