Gabriele Parisini

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liked a model 1 day ago

z-lab/Qwen3.6-35B-A3B-DFlash

Text Generation • 0.5B • Updated 13 days ago • 58.9k • 215

liked a model 11 days ago

shieldstar/Qwen3.6-35B-A3B-int4-AutoRound-EC

Image-Text-to-Text • 6B • Updated 15 days ago • 9.49k • 6

liked a model 16 days ago

Qwen/Qwen3.6-35B-A3B

Image-Text-to-Text • 36B • Updated 15 days ago • 3.36M • • 1.68k

liked 3 models 22 days ago

cyankiwi/gemma-4-26B-A4B-it-AWQ-4bit

Image-Text-to-Text • 27B • Updated 2 days ago • 2.29M • 59

Intel/gemma-4-26B-A4B-it-int4-mixed-AutoRound

5B • Updated Apr 3 • 53.4k • 15

Intel/gemma-4-26B-A4B-it-int4-AutoRound

5B • Updated Apr 3 • 27.8k • 11

liked a model about 1 month ago

Intel/Qwen3.5-9B-int4-AutoRound

4B • Updated Mar 5 • 153k • 24

liked a model about 2 months ago

Qwen/Qwen3.5-0.8B

Image-Text-to-Text • 0.9B • Updated Mar 2 • 3.07M • 527

liked a model 8 months ago

DeepMount00/Sibilia-TTS

Text-to-Speech • 2B • Updated Aug 23, 2025 • 210 • 11

liked a model 10 months ago

DeepMount00/Ita-Search

Sentence Similarity • 0.6B • Updated Jul 16, 2025 • 676 • 32

liked a model 11 months ago

DeepMount00/Italian_NER_XXL_v2

Token Classification • 0.1B • Updated Jun 11, 2025 • 190k • 28

reacted to as-cle-bert's post with 🔥 about 1 year ago

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Post

2970

Ever dreamt of ingesting into a vector DB that pile of CSVs, Word documents and presentations laying in some remote folders on your PC?🗂️
What if I told you that you can do it within three to six lines of code?🤯
Well, with my latest open-source project, 𝐢𝐧𝐠𝐞𝐬𝐭-𝐚𝐧𝐲𝐭𝐡𝐢𝐧𝐠 (https://github.com/AstraBert/ingest-anything), you can take all your non-PDF files, convert them to PDF, extract their text, chunk, embed and load them into a vector database, all in one go!🚀
How? It's pretty simple!
📁 The input files are converted into PDF by PdfItDown (https://github.com/AstraBert/PdfItDown)
📑 The PDF text is extracted using LlamaIndex readers
🦛 The text is chunked exploiting Chonkie
🧮 The chunks are embedded thanks to Sentence Transformers models
🗄️ The embeddings are loaded into a Qdrant vector database

And you're done!✅
Curious of trying it? Install it by running:

𝘱𝘪𝘱 𝘪𝘯𝘴𝘵𝘢𝘭𝘭 𝘪𝘯𝘨𝘦𝘴𝘵-𝘢𝘯𝘺𝘵𝘩𝘪𝘯𝘨

And you can start using it in your python scripts!🐍
Don't forget to star it on GitHub and let me know if you have any feedback! ➡️ https://github.com/AstraBert/ingest-anything

See translation

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liked 3 models about 1 year ago

nickprock/multi-sentence-BERTino

Sentence Similarity • 67.6M • Updated Apr 3 • 1.13k • • 8

nickprock/Italian-ModernBERT-base-embed-mmarco-triplet

Sentence Similarity • 0.1B • Updated Feb 25, 2025 • 9 • 4

nickprock/Italian-ModernBERT-base-embed-mmarco-mnrl

Sentence Similarity • 0.1B • Updated Feb 25, 2025 • 88 • 4

liked 3 models over 1 year ago

nickprock/mmarco-mnrl-bert-base-italian-uncased

Sentence Similarity • 0.1B • Updated Jan 8, 2025 • 2 • 1

DeepMount00/Italian-ModernBERT-base

Fill-Mask • 0.1B • Updated Jun 11, 2025 • 57 • 5

nickprock/sentence-bert-base-italian-uncased

Sentence Similarity • 0.1B • Updated Mar 14, 2025 • 1.02k • 10

upvoted an article over 1 year ago

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Article

Training and Finetuning Embedding Models with Sentence Transformers

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May 28, 2024

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274

liked a model over 1 year ago

nickprock/ModernBERT-base-sts

Sentence Similarity • 0.1B • Updated Jan 12, 2025 • 44 • 2