AViLaMa / README.md
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metadata
language:
  - multilingual
  - en
  - sw
  - ha
  - yo
  - ig
  - zu
  - sn
  - ar
  - am
  - fr
  - pt
tags:
  - zero-shot-image-classification
  - image generation
  - visual qa
  - text-image embedding
  - image-text embedding
  - pytorch
  - sartify
  - visual conversional ai
  - image semantic retrival
  - african raw resourced languages
  - safetensors
  - clip
license: apache-2.0
library_name: transformers

AViLaMa : African Vision-Languages Aligment Pre-Training Model.

Learning Visual Concepts Directly From African Languages Supervision. Click to see paper

  1. Model Details
  2. Uses
  3. Training Details
  4. Evaluation
  5. Acknowledgements
  6. Citation
  7. How To Get Started With the Model

Model Details

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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Model Sources [optional]

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Uses

Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

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Evaluation

Testing Data, Factors & Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Citation [optional]

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