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Simon Brandeis
sbrandeis
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updated
a dataset
about 1 month ago
huggingface/documentation-images
Articles
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sbrandeis's activity
reacted to
julien-c's
post with 👍
15 days ago
Post
7611
After some heated discussion 🔥, we clarify our intent re. storage limits on the Hub
TL;DR:
- public storage is free, and (unless blatant abuse) unlimited. We do ask that you consider upgrading to PRO and/or Enterprise Hub if possible
- private storage is paid above a significant free tier (1TB if you have a paid account, 100GB otherwise)
docs: https://huggingface.co/docs/hub/storage-limits
We optimize our infrastructure continuously to scale our storage for the coming years of growth in Machine learning, to the benefit of the community 🔥
cc: @reach-vb @pierric @victor and the HF team
TL;DR:
- public storage is free, and (unless blatant abuse) unlimited. We do ask that you consider upgrading to PRO and/or Enterprise Hub if possible
- private storage is paid above a significant free tier (1TB if you have a paid account, 100GB otherwise)
docs: https://huggingface.co/docs/hub/storage-limits
We optimize our infrastructure continuously to scale our storage for the coming years of growth in Machine learning, to the benefit of the community 🔥
cc: @reach-vb @pierric @victor and the HF team
- 28 replies
updated
a
dataset
about 1 month ago
liked
2
models
3 months ago
liked
a
Space
4 months ago
Add screenshots for the new billing docs
#357 opened 4 months ago
by
sbrandeis
updated
2
Spaces
4 months ago
How to actually debug gradio code?
3
#14 opened 6 months ago
by
darknoon
Add `base_model` metadata
#72 opened 5 months ago
by
sbrandeis
liked
a
model
6 months ago
git status stuck: fetching git changes
3
#12 opened 6 months ago
by
keval-sha
[FEEDBACK] Spaces Dev Mode
53
#3 opened 8 months ago
by
sbrandeis
LL-MWA-4o
1
#8 opened 7 months ago
by
SitonmyFACEBOOK
Upload app.py
1
#11 opened 6 months ago
by
waqashayder
upvoted
an
article
6 months ago
Article
BrAIn: next generation neurons?
By
•
•
15
reacted to
louisbrulenaudet's
post with ❤️
6 months ago
Post
3233
I am delighted to announce the publication of my LegalKit, a French labeled dataset built for legal ML training 🤗
This dataset comprises multiple query-document pairs (+50k) curated for training sentence embedding models within the domain of French law.
The labeling process follows a systematic approach to ensure consistency and relevance:
- Initial Query Generation: Three instances of the LLaMA-3-70B model independently generate three different queries based on the same document.
- Selection of Optimal Query: A fourth instance of the LLaMA-3-70B model, using a dedicated selection prompt, evaluates the generated queries and selects the most suitable one.
- Final Label Assignment: The chosen query is used to label the document, aiming to ensure that the label accurately reflects the content and context of the original text.
Dataset: louisbrulenaudet/legalkit
Stay tuned for further updates and release information 🔥
@clem , if we can create an "HF for Legal" organization, similar to what exists for journalists, I am available!
Note : My special thanks to @alvdansen for their illustration models ❤️
This dataset comprises multiple query-document pairs (+50k) curated for training sentence embedding models within the domain of French law.
The labeling process follows a systematic approach to ensure consistency and relevance:
- Initial Query Generation: Three instances of the LLaMA-3-70B model independently generate three different queries based on the same document.
- Selection of Optimal Query: A fourth instance of the LLaMA-3-70B model, using a dedicated selection prompt, evaluates the generated queries and selects the most suitable one.
- Final Label Assignment: The chosen query is used to label the document, aiming to ensure that the label accurately reflects the content and context of the original text.
Dataset: louisbrulenaudet/legalkit
Stay tuned for further updates and release information 🔥
@clem , if we can create an "HF for Legal" organization, similar to what exists for journalists, I am available!
Note : My special thanks to @alvdansen for their illustration models ❤️
- 2 replies
reacted to
Xenova's
post with 🔥
6 months ago
Post
6010
Florence-2, the new vision foundation model by Microsoft, can now run 100% locally in your browser on WebGPU, thanks to Transformers.js! 🤗🤯
It supports tasks like image captioning, optical character recognition, object detection, and many more! 😍 WOW!
- Demo: Xenova/florence2-webgpu
- Models: https://huggingface.co/models?library=transformers.js&other=florence2
- Source code: https://github.com/xenova/transformers.js/tree/v3/examples/florence2-webgpu
It supports tasks like image captioning, optical character recognition, object detection, and many more! 😍 WOW!
- Demo: Xenova/florence2-webgpu
- Models: https://huggingface.co/models?library=transformers.js&other=florence2
- Source code: https://github.com/xenova/transformers.js/tree/v3/examples/florence2-webgpu
updated
2
Spaces
6 months ago