Instructions to use aarimond/test_ES with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aarimond/test_ES with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aarimond/test_ES")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aarimond/test_ES") model = AutoModelForSequenceClassification.from_pretrained("aarimond/test_ES", device_map="auto") - Notebooks
- Google Colab
- Kaggle
|
Download README.md from aarimond/test_ES: direct link, hf CLI and curl.
- Browser
- Download file 8.73 kB
-
https://huggingface.co/aarimond/test_ES/resolve/main/README.md
- Command line
-
hf download hf://aarimond/test_ES/README.md
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curl -L -o README.md https://huggingface.co/aarimond/test_ES/resolve/main/README.md
8.73 kB
| 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 | |
| <!-- Provide a quick summary of what the model is/does. [Optional] --> | |
| 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 | |
| <!-- Provide a longer summary of what this model is/does. --> | |
| 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 | |
| <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> | |
| ## Direct Use | |
| <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> | |
| <!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." --> | |
| ## Downstream Use [Optional] | |
| <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> | |
| <!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." --> | |
| ## Out-of-Scope Use | |
| <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> | |
| <!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." --> | |
| # Bias, Risks, and Limitations | |
| <!-- This section is meant to convey both technical and sociotechnical 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 | |
| <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> | |
| # Training Details | |
| ## Training Data | |
| <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> | |
| More information on training data needed | |
| ## Training Procedure | |
| <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> | |
| ### Preprocessing | |
| More information needed | |
| ### Speeds, Sizes, Times | |
| <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> | |
| More information needed | |
| # Evaluation | |
| <!-- This section describes the evaluation protocols and provides the results. --> | |
| ## Testing Data, Factors & Metrics | |
| ### Testing Data | |
| <!-- This should link to a Data Card if possible. --> | |
| More information needed | |
| ### Factors | |
| <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> | |
| More information needed | |
| ### Metrics | |
| <!-- These are the evaluation metrics being used, ideally with a description of why. --> | |
| More information needed | |
| ## Results | |
| More information needed | |
| # Model Examination | |
| More information needed | |
| # Environmental Impact | |
| <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> | |
| 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 | |
| <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> | |
| **BibTeX:** | |
| More information needed | |
| **APA:** | |
| More information needed | |
| # Glossary [optional] | |
| <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> | |
| More information needed | |
| # More Information [optional] | |
| More information needed | |
| # Model Card Authors [optional] | |
| <!-- This section provides another layer of transparency and accountability. Whose views is this model card representing? How many voices were included in its construction? Etc. --> | |
| 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. | |
| <details> | |
| <summary> Click to expand </summary> | |
| # ⚠️ Type of model unknown | |
| </details> |