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_events.yml
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_events.yml
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# "date" attribute should be end date of an event in `Mon DD, YYYY` format (e.g. Feb 3, 2014)
# "date_formatted" attribute is optional if you want to control the format/look of "date" on hf.co
# (e.g. specifying event date range like Jan 24 to Feb 7, 2022)
- name: Accelerate BERT Inference with Knowledge Distillation & AWS Inferentia
link: https://app.livestorm.co/hugging-face/accelerate-bert-inference-with-knowledge-distillation-and-aws-inferentia?type=detailed
date: Apr 13, 2022
description: Accelerate BERT Inference with knowledge distillation & compiling using Hugging Face Transformers, Amazon SageMaker & AWS Inferentia.
- name: NLP in Spanish Hackathon
link: https://www.eventbrite.com/e/registro-hackathon-de-pln-en-espanol-273014111557
date: Mar 31, 2022
date_formatted: Mar 14 to Mar 31, 2022
description: Largest Hackathon ever of NLP in Spanish.
- name: Chasing the wrong benchmarks in Machine Learning, How it will fail in production
link: https://eveeno.com/ai-academy-kickoff
date: Mar 22, 2022
description: Niels Reimers will present his view on chasing wrong benchmarks in ML and how they will fail in production.
- name: NLP with TF Keras and HF Transformers with Merve Noyan
link: https://www.youtube.com/watch?v=IBaDGxgY3Po&ab_channel=Weights%26Biases
date: Feb 16, 2022
description: Learn about how NLP can be done with TensorFlow and Transformers.
- name: Robust Speech Recognition Challenge
link: https://discuss.huggingface.co/t/open-to-the-community-robust-speech-recognition-challenge/13614
date: Feb 7, 2022
date_formatted: Jan 24 to Feb 7, 2022
description: Community event in which robust speech recognition systems in many languages are created.
- name: Hub Featureton
link: https://www.youtube.com/watch?v=gAEeiFR7O0Q&ab_channel=HuggingFace
date: Feb 3, 2022
description: Would you like to know all the things you can do with the Hub? This event is for you! During the webinar, we'll go through some amazing features the Hugging Face team has been working on.
- name: XLS-R, Large-Scale Cross-lingual Speech Representation Learning on 128 Languages
link: https://www.youtube.com/watch?v=ic_J7ZCROBM&ab_channel=HuggingFace
date: Jan 21, 2022
description: Changan Wang, from Meta AI Research, is one of the authors of the XLS-R, a large-scale model for cross-lingual speech representation learning based on wav2vec.
- name: The Common Voice Dataset
link: https://www.youtube.com/watch?v=Vvn984QmAVg&ab_channel=HuggingFace
date: Jan 21, 2022
description: Gabriel Habayeb, from Mozilla Common Voice, will join us to speak about the Common Voice Dataset.
- name: ML for Audio Study Group - ML4Audio - pyctcdecode, A simple and fast speech-to-text prediction decoding algorithm
link: https://www.youtube.com/watch?v=CDuvVL0z_xk&ab_channel=HuggingFace
date: Jan 19, 2022
description: Watch a presentation about pyctcdecode, a fast and feature-rich CTC beam search decoder for speech recognition.
- name: Intro to Transfer Learning, end-to-end deployment with TFX, and demo with Streamlit
link: https://www.youtube.com/watch?v=y9qy7lxXl-c&ab_channel=TensorFlowUserGroupCasablanca
date: Jan 8, 2022
date_formatted: Jan 7 & 8, 2022
description: Are you a TF user and would like to learn about Transformers and building cool demos? This is for you!
- name: ML for Audio Study Group - Text to Speech Deep Dive
link: https://www.youtube.com/watch?v=aLBedWj-5CQ&ab_channel=HuggingFace
date: Jan 4, 2022
description: Vatsal and VB provide a high level overview of how TTS is solved and share more about the history of the domain.
- name: ML for Audio Study Group - Intro to Audio and ASR Deep Dive
link: https://www.youtube.com/watch?v=D-MH6YjuIlE&ab_channel=HuggingFace
date: Dec 21, 2021
description: Watch a high level overview of audio data and its challenges and learn about transcribing audio files.
- name: GDG Cloud San Francisco DevFest - BigScience
link: https://youtu.be/-euoEOpfUIk?t=5695
date: Dec 18, 2021
description: Learn about the BigScience project, a one year research workshop on large multilingual datasets and language models.
- name: Pretraining Language Models & CodeParrot
link: https://www.youtube.com/watch?v=ExUR7w6xe94&ab_channel=HuggingFace
date: Dec 17, 2021
description: Leandro and Merve explain how to pre-train language models and Code Parrot, a model that can write code.
- name: ML for Audio Study Group - Kick Off
link: https://www.youtube.com/watch?v=cAviRhkqdnc&ab_channel=HuggingFace
date: Dec 14, 2021
description: Intro to ML for Audio. Learn about Automatic Speech Recognition and Text to Speech.
- name: Question Answering workshop
link: https://www.youtube.com/watch?v=Ihgk8kGLpIE&ab_channel=HuggingFace
date: Dec 10, 2021
description: Course special session where Lewis and Merve will go through notebooks, course material and answer your questions.
- name: On Sentiments and Biases
link: https://www.youtube.com/watch?v=0K5ybetv-dA&ab_channel=HuggingFace
date: Dec 8, 2021
description: Join Merve & Vincent in this talk on Sentiments and Biases in Hugging Face models!
- name: Implementing DietNeRF with JAX and Flax.
link: https://www.youtube.com/watch?v=A9iefUXkvQU&t=1s&ab_channel=HuggingFace
date: Nov 30, 2021
description: Learn about NeRF, JAX+Flax, 3D reconstruction, HF Spaces, and more!
- name: Course launch event!
link: https://www.youtube.com/playlist?list=PLo2EIpI_JMQvcXKx5RFReyg6Qd2UICAif
date: Nov 15, 2021
description: Talks from Thom Wolf, Margaret Mitchell, Jay Alammar, and many more!
- name: Open Source Office Hours
link: https://www.youtube.com/watch?v=VWOHu_Hg0Pc
date: Nov 8, 2021
description: In this 30 minutes session the team will share the latest updates from our open source tools and answer questions from the community.
- name: T0 Discussion with Victor Sanh
link: https://www.youtube.com/watch?v=Oy49SCW_Xpw&ab_channel=HuggingFace
date: Nov 5, 2021
description: Learn about the T0, a model for zero-show task generalization
- name: NLP with Transformers and the Hugging Face Ecosystem 🤗
link: https://www.mlt.ai/hands-on-transformers-workshop
date: Oct 22, 2021
description: In this workshop, learn the core concepts behind Transformers and how to train these models in the Hugging Face ecosystem.