https://github.com/gante/huggingface-demos

Personal demos using Hugging Face 🤗 tools
https://github.com/gante/huggingface-demos

Last synced: about 2 months ago
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Personal demos using Hugging Face 🤗 tools

• Host: GitHub
• URL: https://github.com/gante/huggingface-demos
• Owner: gante
• Created: 2022-09-11T18:35:47.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-11-04T16:09:41.000Z (3 months ago)
• Last Synced: 2024-11-19T14:25:17.204Z (2 months ago)
• Language: Python
• Size: 28.3 KB
• Stars: 5
• Watchers: 2
• Forks: 5
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# Hugging Face 🤗 Demos

This is a collection of personal demos/scripts/colabs using Hugging Face 🤗 tools, organized by modality.

Framework-specific demos have their link/filename starting with the framework name (`flax`, `pt`, or `tf`) to facilitate search.

## 📖 NLP

### Text Generation

1. [TF: XLA-accelerated Text Generation](https://colab.research.google.com/github/huggingface/blog/blob/main/notebooks/91_tf_xla_generate.ipynb)

2. [The importance of left padding on decoder-only models](https://colab.research.google.com/drive/1i0g18lUNZ2cYRms0E-gE1KCf6N4mZRwy)

3. [Up-to-date GPT2](https://colab.research.google.com/drive/1v2gIkaatX6CuOKkQYSYTb2C1IJkpLrKk?usp=sharing)

4. [Text Streaming with generate](https://colab.research.google.com/drive/1MgKNzRU_WheFEkHojaJTfqLCWELWLbbY?usp=sharing)

### Translation

1. [TF: Using Helsinki-NLP translation models](https://colab.research.google.com/drive/1TKfrtpGIaNi8hRqOrWYSBjjGEAN3X_QY?usp=sharing)

## 📣 Speech

1. [TF: Whisper + XLA generation](https://colab.research.google.com/drive/191WGH59ZZ-xyu8d6GWbuqZHa_MQJmQpA?usp=sharing)

2. [TF: How to create a TF Lite model for Whisper with generation capabilities](https://colab.research.google.com/drive/1tGL73xRs9mFUY5R03im0R6NNcvJriHun?usp=sharing)

## 🧨 Text to Image

1. [Stable diffusion from any input language](https://colab.research.google.com/drive/19tELXE_ljjG5yFh0qDznj6rUw90pn4Xe?usp=sharing)

## 🤖 Others

1. [TF: Model weight conversion from Hub PyTorch models](https://colab.research.google.com/drive/1uT2qLqHd5jbiSRJNgQ8qw_YkIa4BUv2n?usp=sharing)