π€ Agents
Collection
17 items
β’
Updated
β’
35
Celina
celinah
AI & ML interests
inference, on-device and image generation
Recent Activity
upvoted
a
collection
about 16 hours ago
π€ Agents
liked
a dataset
4 days ago
HuggingFaceTB/smoltalk
liked
a model
4 days ago
HuggingFaceTB/SmolLM2-360M-Instruct
Organizations
celinah's activity
upvoted
a
collection
about 16 hours ago
liked
a
dataset
4 days ago
liked
2
models
4 days ago
updated
a
dataset
5 days ago
liked
a
Space
6 days ago
updated
a
dataset
6 days ago
Reacted to
jsulz's
post with π
6 days ago
Post
1974
In August, the XetHub team joined Hugging Face
- https://huggingface.co/blog/xethub-joins-hf - and weβve been rolling up our sleeves to bring the best of both worlds together. We started with a deep dive into the current state of files stored with Git LFS on the Hub.
Getting this information was no small feat. We had to:
* Analyze a complete database dump of all repositories and files stored in Git LFS across Hugging Face.
* Parse through metadata on file sizes and types to accurately map the storage breakdown across Spaces, Models, and Datasets.
You can read more about the findings (with some jaw-dropping stats + charts) here https://www.linkedin.com/feed/update/urn:li:activity:7244486280351285248
- https://huggingface.co/blog/xethub-joins-hf - and weβve been rolling up our sleeves to bring the best of both worlds together. We started with a deep dive into the current state of files stored with Git LFS on the Hub.
Getting this information was no small feat. We had to:
* Analyze a complete database dump of all repositories and files stored in Git LFS across Hugging Face.
* Parse through metadata on file sizes and types to accurately map the storage breakdown across Spaces, Models, and Datasets.
You can read more about the findings (with some jaw-dropping stats + charts) here https://www.linkedin.com/feed/update/urn:li:activity:7244486280351285248
liked
a
Space
7 days ago
upvoted
a
collection
7 days ago
liked
a
model
7 days ago
liked
a
model
8 days ago
Reacted to
merve's
post with π
8 days ago
Post
1749
π€ transformers pipelines now support vision language models for easy local inference π«°π»
h/t @yonigozlan for shipping this π©π
you can also use inference API to infer hosted vision LMs (via Python, JS and cURL) https://huggingface.co/docs/api-inference/en/tasks/image-text-to-text
h/t @yonigozlan for shipping this π©π
you can also use inference API to infer hosted vision LMs (via Python, JS and cURL) https://huggingface.co/docs/api-inference/en/tasks/image-text-to-text
liked
a
dataset
8 days ago
liked
a
model
8 days ago
upvoted
an
article
8 days ago
Article
The Beginners Guide to Cleaning a Dataset
By
β’
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23
Reacted to
Xenova's
post with π₯
8 days ago
Post
4207
Have you tried out π€ Transformers.js v3? Here are the new features:
β‘ WebGPU support (up to 100x faster than WASM)
π’ New quantization formats (dtypes)
π 120 supported architectures in total
π 25 new example projects and templates
π€ Over 1200 pre-converted models
π Node.js (ESM + CJS), Deno, and Bun compatibility
π‘ A new home on GitHub and NPM
Get started with
Learn more in our blog post: https://huggingface.co/blog/transformersjs-v3
β‘ WebGPU support (up to 100x faster than WASM)
π’ New quantization formats (dtypes)
π 120 supported architectures in total
π 25 new example projects and templates
π€ Over 1200 pre-converted models
π Node.js (ESM + CJS), Deno, and Bun compatibility
π‘ A new home on GitHub and NPM
Get started with
npm i @huggingface/transformers.Learn more in our blog post: https://huggingface.co/blog/transformersjs-v3
- 3 replies
liked
a
Space
8 days ago
liked
a
Space
9 days ago
liked
a
dataset
12 days ago