Instructions to use BenjaminOcampo/task-implicit_task__model-bert__aug_method-None with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminOcampo/task-implicit_task__model-bert__aug_method-None with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BenjaminOcampo/task-implicit_task__model-bert__aug_method-None")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-None") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-None") - Notebooks
- Google Colab
- Kaggle
| language: en | |
| # Model Card for BenjaminOcampo/task-implicit_task__model-bert__aug_method-None | |
| <!-- Provide a quick summary of what the model is/does. --> | |
| # Table of Contents | |
| 1. [Model Details](#model-details) | |
| 2. [Uses](#uses) | |
| 3. [Bias, Risks, and Limitations](#bias-risks-and-limitations) | |
| 4. [Training Details](#training-details) | |
| 5. [Evaluation](#evaluation) | |
| 6. [Model Examination](#model-examination-optional) | |
| 7. [Environmental Impact](#environmental-impact) | |
| 8. [Technical Specifications](#technical-specifications-optional) | |
| 9. [Citation](#citation-optional) | |
| 10. [Glossary](#glossary-optional) | |
| 11. [More Information](#more-information-optional) | |
| 12. [Model Card Authors](#model-card-authors-optional) | |
| 13. [Model Card Contact](#model-card-contact) | |
| 14. [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. --> | |
| **Classification results dev set** | |
| ``` | |
| precision recall f1-score support | |
| 0 0.90 0.89 0.90 2680 | |
| 1 0.81 0.83 0.82 1501 | |
| 2 0.38 0.31 0.34 186 | |
| accuracy 0.85 4367 | |
| macro avg 0.69 0.68 0.68 4367 | |
| weighted avg 0.84 0.85 0.85 4367 | |
| ``` | |
| **Classification results test set** | |
| ``` | |
| precision recall f1-score support | |
| 0 0.90 0.90 0.90 2681 | |
| 1 0.81 0.84 0.83 1501 | |
| 2 0.46 0.35 0.40 186 | |
| accuracy 0.86 4368 | |
| macro avg 0.73 0.70 0.71 4368 | |
| weighted avg 0.85 0.86 0.85 4368 | |
| ``` | |
| - **Developed by:** Nicolás Benjamín Ocampo | |
| - **Shared by [optional]:** [More Information Needed] | |
| - **Model type:** [More Information Needed] | |
| - **Language(s) (NLP):** en | |
| - **License:** [More Information Needed] | |
| - **Finetuned from model [optional]:** [More Information Needed] | |
| - **Resources for more information:** [More Information Needed] | |
| # 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. --> | |
| [More Information 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 --> | |
| [More Information Needed] | |
| ## Out-of-Scope Use | |
| <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> | |
| [More Information Needed] | |
| # Bias, Risks, and Limitations | |
| <!-- This section is meant to convey both technical and sociotechnical limitations. --> | |
| [More Information Needed] | |
| ## Recommendations | |
| <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> | |
| Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. | |
| # 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 Needed] | |
| ## Training Procedure [optional] | |
| <!-- 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 [optional] | |
| <!-- Relevant interpretability work for the model goes here --> | |
| [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 [optional] | |
| <!-- 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] | |
| [More Information Needed] | |
| # 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> | |
| [More Information Needed] | |
| </details> |