--- language: - de license: bigscience-bloom-rail-1.0 library_name: keras tags: - autogenerated-modelcard --- # tethre ## Table of Contents - [tethre](#-model_id--defaultmymodelname-true) - [Table of Contents](#table-of-contents) - [Model Details](#model-details) - [How to Get Started with the Model](#how-to-get-started-with-the-model) - [Uses](#uses) - [Direct Use](#direct-use) - [Downstream Use](#downstream-use) - [Misuse and Out-of-scope Use](#misuse-and-out-of-scope-use) - [Limitations and Biases](#limitations-and-biases) - [Training](#training) - [Training Data](#training-data) - [Training Procedure](#training-procedure) - [Evaluation Results](#evaluation-results) - [Environmental Impact](#environmental-impact) - [Citation Information](#citation-information) ## Model Details hhrirergenjfngdg - Developed by: - Language(s): - License: This model is licensed under the bigscience-bloom-rail-1.0 license - Resources for more information: ## How to Get Started with the Model Use the code below to get started with the model. ```python # A nice code snippet here that describes how to use the model... ``` ## Uses #### Direct Use [More Information Needed] #### Downstream Use [More Information Needed] #### Misuse and Out-of-scope Use [More Information Needed] ## Limitations and Biases **CONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propogate historical and current stereotypes.** [More Information Needed] ## Training #### Training Data See the data card for additional information. #### Training Procedure [More Information Needed] ## Evaluation Results [More Information Needed] ## Environmental Impact You can estimate carbon emissions 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:** - **Hours used:** - **Cloud Provider:** - **Compute Region:** - **Carbon Emitted:** ## Citation Information ```bibtex ```