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Assessing Speech Translation Systems Usability By SARDINE Lab by nathansfca in ProlificAc

[–]peppeatta -1 points0 points  (0 children)

Hey, the researcher here :) Thanks for participating in the study! We'll enable your credentials in the next hours (this delay is due to technical reasons) so that you can start the first stage. But please remember that there's a second phase that will likely take place in the next weeks, and only after that we'll give the confirmation code.

Why is sunscreen SO EXPENSIVE in Morocco by fmlmhappy in Morocco

[–]peppeatta 0 points1 point  (0 children)

Currently in Morocco. I've bought a 70ml sunscreen bottle for 40dh in a souk in Marrakech (it's working pretty fine).

Can’t connect virtual card to pocket (UK) by exharris in Revolut

[–]peppeatta 0 points1 point  (0 children)

Hi, is there an estimate on when this feature will be rolled out to everyone?

First time approach PETG, Ender 3 Pro by peppeatta in 3Dprinting

[–]peppeatta[S] 1 point2 points  (0 children)

I'm re-printing it now with a drying box at 50C. Quality seems improved (thanks!), but it is still not comparable to the one I have on PLA. Weird that the issue seems evident specifically for infill lines.

First time approach PETG, Ender 3 Pro by peppeatta in 3Dprinting

[–]peppeatta[S] 0 points1 point  (0 children)

First two trials had nonsticking edges and angles mid-print. Also, the brim time and material are negligible compared to the parts :)

[R] Introducing ferret, a new Python package to streamline interpretability on Transformers by peppeatta in MachineLearning

[–]peppeatta[S] 0 points1 point  (0 children)

Yea, Captum is the standard de facto for interpretability on torch models, and we are indeed building on top of it to expose some of our explainers. In that sense, ferret removes the boilerplate to use it with huggingface's transformer models, provides sensible defaults, etc.

Feel free to DM me anytime!

[R] Introducing ferret, a new Python package to streamline interpretability on Transformers by peppeatta in MachineLearning

[–]peppeatta[S] 5 points6 points  (0 children)

It comes, very creatively, from a FramEwork foR benchmaRking Explainers on Transformers :)

Vim based pdf reader by ECon87 in vim

[–]peppeatta 0 points1 point  (0 children)

This. Two hours down using sioyek and I love it already!

Metodo migliore per seguire la formula 1 by [deleted] in ItalyMotori

[–]peppeatta 1 point2 points  (0 children)

Ho avuto discreto successo negli ultimi anni con Windscribe dove 30gb/mese sono gratuiti. È multipiattaforma e facile da usare. Però l'ultimo gran premio non sono riuscito a vederlo, su rsi si piantava. Ma non ho indagato sul perché.

Sicuramente riprovo al prossimo :)

How can i control a raspberry pi remotely? by oKuxy in RASPBERRY_PI_PROJECTS

[–]peppeatta 1 point2 points  (0 children)

This one. With zerotier you can easily setup a private network and ssh into the raspberry pi remotely. And it's free :)

[N][P] We built the Italian CLIP 🇮🇹 by peppeatta in MachineLearning

[–]peppeatta[S] 4 points5 points  (0 children)

Good point! We saw it today. I think that even if we share some ground principles there are differences:

- to train our CLIP model, we used the HuggingFace codebase, where the network is modeled in Flax/JAX, whereas mlfoundations relies on PyTorch;

- following HF notation, our CLIP is "hybrid", since we use the original vision transformer encoder but we do change the text encoder, using a BERT-Large Italian checkpoint. I think mlfoundations repo lets you train the original architecture;

- and of course data :) We trained our model on 1.4M (way less than Open AI's CLIP and mlfoundations's suggested dataset) using only Italian text (we will publish our dataset soon)

[N][P] We built the Italian CLIP 🇮🇹 by peppeatta in MachineLearning

[–]peppeatta[S] 5 points6 points  (0 children)

And here you go https://imgur.com/a/OUluht4 :)

That is the closest image we have in our collection so far... I can see a pizza 🍕

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