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2 changes: 1 addition & 1 deletion tasks/src/reinforcement-learning/about.md
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Expand Up @@ -67,4 +67,4 @@ Would you like to learn more about the topic? Awesome! Here you can find some cu
- [Introduction to Unity MLAgents](https://colab.research.google.com/github/huggingface/deep-rl-class/blob/main/unit4/unit4.ipynb)
- [Training Decision Transformers with 🤗 transformers](https://github.com/huggingface/blog/blob/main/notebooks/101_train-decision-transformers.ipynb)

This page was made possible thanks to the efforts of [Ram Ananth](https://huggingface.co/RamAnanth1), [Emilio Lehoucq](https://huggingface.co/emiliol) and [Osman Alenbey](https://huggingface.co/osman93).
This page was made possible thanks to the efforts of [Ram Ananth](https://huggingface.co/RamAnanth1), [Emilio Lehoucq](https://huggingface.co/emiliol), [Sagar Mathpal](https://huggingface.co/sagarmathpal) and [Osman Alenbey](https://huggingface.co/osman93).
3 changes: 2 additions & 1 deletion tasks/src/tasksData.ts
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Expand Up @@ -25,6 +25,7 @@ import tokenClassification from "./token-classification/data";
import translation from "./translation/data";
import textClassification from "./text-classification/data";
import textGeneration from "./text-generation/data";
import unconditionalImageGeneration from "./unconditional-image-generation/data";
import videoClassification from "./video-classification/data";
import visualQuestionAnswering from "./visual-question-answering/data";
import zeroShotImageClassification from "./zero-shot-image-classification/data";
Expand Down Expand Up @@ -70,7 +71,7 @@ export const TASKS_DATA: Record<PipelineType, TaskData | undefined> = {
"time-series-forecasting": undefined,
"token-classification": getData("token-classification", tokenClassification),
"translation": getData("translation", translation),
"unconditional-image-generation": getData("unconditional-image-generation"),
"unconditional-image-generation": getData("unconditional-image-generation", unconditionalImageGeneration),
"visual-question-answering": getData("visual-question-answering", visualQuestionAnswering),
"voice-activity-detection": getData("voice-activity-detection"),
"zero-shot-classification": getData("zero-shot-classification"),
Expand Down
2 changes: 1 addition & 1 deletion tasks/src/text-to-image/about.md
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Expand Up @@ -31,4 +31,4 @@ You can add a small snippet [here](https://github.com/huggingface/hub-docs/blob/
- [MinImagen - Build Your Own Imagen Text-to-Image Model](https://www.assemblyai.com/blog/minimagen-build-your-own-imagen-text-to-image-model/)
- [OpenAI Blog - Dall E](https://openai.com/blog/dall-e/)

This page was made possible thanks to efforts of [Ishan Dutta](https://huggingface.co/ishandutta) and [Oğuz Akif](https://huggingface.co/oguzakif).
This page was made possible thanks to the efforts of [Ishan Dutta](https://huggingface.co/ishandutta), [Enrique Elias Ubaldo](https://huggingface.co/herrius) and [Oğuz Akif](https://huggingface.co/oguzakif).
2 changes: 2 additions & 0 deletions tasks/src/unconditional-image-generation/about.md
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Expand Up @@ -41,3 +41,5 @@ This section should have useful information about Model Hosting and Inference
### Training your own model in just a few seconds

In this area, you can insert useful information about training the model

This page was made possible thanks to the efforts of [Someet Sahoo](https://huggingface.co/Someet24) and [Juan Carlos Piñeros](https://huggingface.co/juancopi81).
3 changes: 2 additions & 1 deletion tasks/src/zero-shot-image-classification/about.md
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Expand Up @@ -61,5 +61,6 @@ The highest probability is 0.995 for the label cat and dog

You can contribute useful resources about this task [here](https://github.com/huggingface/hub-docs/blob/main/tasks/src/zero-shot-image-classification/about.md).

This page was made possible thanks to the efforts of [Shamima Hossain](https://huggingface.co/Shamima).
This page was made possible thanks to the efforts of [Shamima Hossain](https://huggingface.co/Shamima), [Haider Zaidi
](https://huggingface.co/chefhaider) and [Paarth Bhatnagar](https://huggingface.co/Paarth).