File size: 2,779 Bytes
46a6847 b1d738d d6953ca a5092d8 88574b0 bcb9470 a1b79c1 287e2d2 b1d738d a5092d8 6d444a0 9668814 cac8554 67c26a5 6d444a0 111408f 6d444a0 111408f c9f307b 111408f 712a623 111408f 6d444a0 712a623 cc9c00f f8a1f78 cc9c00f 6d444a0 f8a1f78 6d444a0 f8a1f78 c9f307b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 |
---
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. [Paper is coming]()
## Model Details
AViLaMa is the large open-source text-vision alignment pre-training model in African languages. It brings a way to learn visual concepts directly from African languages supervision. Inspired from OpenAI CLIP, but with more modalities like video, audio, etc.. and other techniques like agnostic languages encoding, data filtering network. All for more than 12 African languages, trained on the #AViLaDa-2B datasets of filtered image, video, audio-text pairs. We are also working to make it usable in directly vision-vision tasks.
- **Developed by :** Sartify LLC (www.sartify.com)
- **Authors :** Innocent Charles, Zephania Reuben
- **Funded by :** Sartify LLC, Open Source Community, etc..(We always welcome other donors)
- **Model type :** multilingual & multimodality transformer
- **Language(s) :** en (English), sw (Swahili), ha (Hausa), yo (Yoruba), ig (Igbo), zu (Zulu), sn (Shona), ar (Arabic), am (Amharic), fr (French), pt (Portuguese)
- **License:** apache 2.0
## Load model from hugging face.
```python
import torch
from transformers import AutoModel, AutoTokenizer
model = AutoModel.from_pretrained("sartifyllc/AViLaMa")
tokenizer = AutoTokenizer.from_pretrained("sartifyllc/AViLaMa")
model = model.eval()
```
## Model Sources
- **Repository :** [AViLaMa-Sources](https://github.com/Sartify/AViLaMa-Sources)
- **Datasets :** Coming...
- **Paper :** Coming...
- **Demo :** Coming...
### Direct & Downstream Use:
1. zero shot semantic image retrieval and ranking tasks.
2. zero shot semantic audio retrieval and ranking tasks.
3. zero shot semantic video retrieval and ranking tasks.
4. zero shot image classification tasks.
5. Zero shot video classification tasks.
6. Zero shot audio classification tasks.
7. visual QA tasks.
8. visual conversional GenAI tasks.
9. image and video capturing tasks.
10. images and art generation guiding and conditioning tasks.
11. text-images analysis tasks.
12. content moderation task.
# Citation
**BibTeX:**
```bibtex
AViLaMa paper
@article{sartifyllc2023africanvision,
title={AViLaMa: Learning Visual Concepts Directly From African Languages Supervision},
author={Innocent Charles and
Zephania Reuben},
journal={To be inserted},
year={2023}
}
``` |