Computer Vision at Hugging Face #shorts
At Hugging Face, we pride ourselves on democratizing the field of artificial intelligence together with the community. As a part of that mission, we began focusing our efforts on computer vision over the last year.
👀 Read more about Computer Vision at Hugging Face in this awesome new blogpost by Sayak Paul: https://huggingface.co/blog/cv_state
👾 Join our Discord: https://huggingface.co/join/discord
Watch on YouTube ↗
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![[Webinar] How to add machine learning capabilities with just a few lines of code](https://i.ytimg.com/vi/p055U0dnEos/mqdefault.jpg)
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The Future of Natural Language Processing
HuggingFace
Trends in Model Size & Computational Efficiency in NLP
HuggingFace
Increasing Data Usage in Natural Language Processing
HuggingFace
In Domain & Out of Domain Generalization in the Future of NLP
HuggingFace
The Limits of NLU & the Rise of NLG in the Future of NLP
HuggingFace
The Lack of Robustness in the Future of NLP
HuggingFace
Inductive Bias, Common Sense, Continual Learning in The Future of NLP
HuggingFace
Train and use a NLP model in 10 mins!
HuggingFace
Automatic text classification in a few lines of code
HuggingFace
Train a Hugging Face Transformers Model with Amazon SageMaker
HuggingFace
What is Transfer Learning?
HuggingFace
The pipeline function
HuggingFace
Navigating the Model Hub
HuggingFace
Character-based tokenizers
HuggingFace
Transformer models: Decoders
HuggingFace
The Transformer architecture
HuggingFace
Transformer models: Encoder-Decoders
HuggingFace
Transformer models: Encoders
HuggingFace
Keras introduction
HuggingFace
The push to hub API
HuggingFace
Subword-based tokenizers
HuggingFace
Fine-tuning with TensorFlow
HuggingFace
Learning rate scheduling with TensorFlow
HuggingFace
TensorFlow Predictions and metrics
HuggingFace
Tokenizers Overview
HuggingFace
Word-based tokenizers
HuggingFace
Welcome to the Hugging Face course
HuggingFace
The tokenization pipeline
HuggingFace
Supercharge your PyTorch training loop with Accelerate
HuggingFace
The Trainer API
HuggingFace
Batching inputs together (PyTorch)
HuggingFace
Batching inputs together (TensorFlow)
HuggingFace
Hugging Face Datasets overview (Pytorch)
HuggingFace
Hugging Face Datasets overview (Tensorflow)
HuggingFace
What is dynamic padding?
HuggingFace
What happens inside the pipeline function? (PyTorch)
HuggingFace
What happens inside the pipeline function? (TensorFlow)
HuggingFace
Instantiate a Transformers model (PyTorch)
HuggingFace
Instantiate a Transformers model (TensorFlow)
HuggingFace
Preprocessing sentence pairs (PyTorch)
HuggingFace
Preprocessing sentence pairs (TensorFlow)
HuggingFace
Write your training loop in PyTorch
HuggingFace
Managing a repo on the Model Hub
HuggingFace
Chapter 1 Live Session with Sylvain
HuggingFace
Chapter 2 Live Session with Lewis
HuggingFace
The push to hub API
HuggingFace
Chapter 2 Live Session with Sylvain
HuggingFace
Chapter 3 live sessions with Lewis (PyTorch)
HuggingFace
Day 1 Talks: JAX, Flax & Transformers 🤗
HuggingFace
Day 2 Talks: JAX, Flax & Transformers 🤗
HuggingFace
Day 3 Talks JAX, Flax, Transformers 🤗
HuggingFace
Chapter 4 live sessions with Omar
HuggingFace
Deploy a Hugging Face Transformers Model from S3 to Amazon SageMaker
HuggingFace
Deploy a Hugging Face Transformers Model from the Model Hub to Amazon SageMaker
HuggingFace
Run a Batch Transform Job using Hugging Face Transformers and Amazon SageMaker
HuggingFace
[Webinar] How to add machine learning capabilities with just a few lines of code
HuggingFace
Hugging Face + Zapier Demo Video
HuggingFace
Hugging Face + Google Sheets Demo
HuggingFace
Hugging Face Infinity Launch - 09/28
HuggingFace
Introducing AutoNLP (Trailer)
HuggingFace
DeepCamp AI