%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Sanskrit5 Multitask
Model Overview
Model Features
Model Capabilities
Use Cases
đ Model Card for Model ID
This is a model card for a đ¤ transformers model pushed on the Hub. It provides an overview of the model's details, uses, training, evaluation, and more.
đ Quick Start
Use the code below to get started with the model.
# [More Information Needed]
⨠Features
This section would detail the features of the model, but currently, more information is needed.
đĻ Installation
No installation steps are provided in the original document.
đ Documentation
Model Details
This is the model card of a đ¤ transformers model that has been pushed on the Hub. This model card has been automatically generated.
| Property | Details |
|---|---|
| Developed by | [More Information Needed] |
| Funded by [optional] | [More Information Needed] |
| Shared by [optional] | [More Information Needed] |
| Model Type | [More Information Needed] |
| Language(s) (NLP) | [More Information Needed] |
| License | [More Information Needed] |
| Finetuned from model [optional] | [More Information Needed] |
Model Sources [optional]
- Repository: [More Information Needed]
- Paper [optional]: [More Information Needed]
- Demo [optional]: [More Information Needed]
Uses
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]
đĄ Usage Tip
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 Dataset 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
Preprocessing [optional]
[More Information Needed]
Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
This section provides information about throughput, start/end time, checkpoint size if relevant, etc. [More Information Needed]
Evaluation
Testing Data, Factors & Metrics
Testing Data
This should link to a Dataset 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]
Summary
[More Information Needed]
Model Examination [optional]
Relevant interpretability work for the model goes here. [More Information Needed]
Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
| Property | Details |
|---|---|
| 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
Hardware
[More Information Needed]
Software
[More Information Needed]
Citation [optional]
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]
Transformers Transformers Supports Multiple Languages