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Lysandre ✓

@LysandreJik · 米沢市、日本 · joined 13 Mar 2019

Chief Open-Source Officer (COSO) at Hugging Face

12 516Followers
647Following
1 995Posts total
33.4KViews on collected posts

Ultimi post

Transformers has supported loading GGUF files for a few years now, by unquantizing them. Thanks to @_marcsun, we're now using GGML kernels through the `kernels` library to run at the same performance as llama.cpp Huge kudos to the entire @ggml_org for making these kernels! http
8.8K views · 50 likes · 17 reposts · 8 replies Open on X →
Super excited to welcome @jundotkim to the team. MLX is a huge project for local AI, and I've been impressed by the work Jun put in the oMLX framework to lower the barrier of entry. This is just the beginning of what we can do with our laptops and desktops! 2.6K views · 39 likes · 0 reposts · 0 replies Open on X →
@LysandreJik @art_zucker @LucSGeorges @SimonBrandeis dope 101 views · 3 likes · 0 reposts · 0 replies Open on X →
@LysandreJik @AdinaYakup @art_zucker @LucSGeorges @SimonBrandeis Congrats team! 292 views · 3 likes · 0 reposts · 2 replies Open on X →
@LysandreJik @art_zucker @LucSGeorges @SimonBrandeis lfg great work guys 607 views · 5 likes · 0 reposts · 2 replies Open on X →
Tokenizers v1's first release candidate is out 🔥 absolutely huge release across the board: Up to 30x faster tokenization, rivaling the best in the ecosystem. Scaling across threads, much better latency, less memory consumed, and microscopic crate size. https://t.co/F4PTDDZbuy h
20.3K views · 167 likes · 21 reposts · 14 replies Open on X →
PyTorch Conference NA is happening in San Jose October 20-21 this year! A lot of Hugging Face team members will be there, come and meet us there! Come and discuss open-source in ML! https://t.co/Khxv8z07J3 697 views · 17 likes · 0 reposts · 1 replies Open on X →
Five years ago, I started in NLP with @AndrewYNg and @DeepLearningAI_'s course and it gave me the skills to join Hugging Face as an MLE I couldn't be prouder to announce that I have recorded a video to present the 🤗 Model & Datasets hub which is now part of this revamped course
Hugging Face introduction as part of Coursera's revamped NLP course
0 views · 1.1K likes · 89 reposts · 19 replies Open on X →

Rispetto ad account della stessa dimensione

7 post degli ultimi 90 giorni, accanto alla fascia di 10K–100K follower. arriva a più persone rispetto ad account della stessa dimensione.

Visualizzazioni mediane697questo account924mediana per 10K–100K
Copertura, %5.57%questo account3.62%mediana per 10K–100K
Interazione, %1.50%questo account1.52%mediana per 10K–100K
MetricaQuesto accountMediana per 10K–100KRapporto
Visualizzazioni mediane per post6979240.75×
Copertura (visualizzazioni ÷ follower)5.57%3.62%1.54×
Tasso di interazione1.50%1.52%0.99×

Altri account di questa fascia →   Confronta con un altro account →   Come sono costruiti questi parametri →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

69716 Sep
20.3K21 Sep
607
292
101
2.6K22 Sep
8.8K

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

2.58%16 Sep
1.02%21 Sep
1.15%
1.71%
2.97%
1.50%22 Sep
0.87%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes66.4%284 in total
Reposts8.9%38 in total
Replies6.3%27 in total
Quotes1.9%8 in total
Bookmarks16.6%71 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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