disco-eth/WorldSpeech
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Sainbayar B. (Б. Сайнбаяр)
onlysainaa
AI & ML interests
https://www.instagram.com/only_sainaa/
Recent Activity
new activity about 21 hours ago
btsee/oron-tts:Nice liked a dataset about 1 month ago
disco-eth/WorldSpeech new activity about 1 month ago
disco-eth/WorldSpeech:Label mismatchOrganizations
Nice
1
#1 opened about 21 hours ago
by onlysainaa
liked a
dataset about 1 month ago
Label mismatch
1
#5 opened about 1 month ago
by onlysainaa
updated a
model about 1 month ago
published a
dataset about 1 month ago
Does it beat gemma-4-12B?
1
#4 opened 3 months ago
by onlysainaa
Did anyone finetune it?
➕ 1
1
#11 opened 6 months ago
by onlysainaa
How to deploy with VLLM?
6
#65 opened 6 months ago
by onlysainaa
liked a
Space 7 months ago
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published a
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updated a
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upvoted a paper 9 months ago
updated a
Space 10 months ago
published a
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published a
model over 1 year ago
reacted to as-cle-bert's post with ❤️ over 1 year ago
Post
1995
One of the biggest challenges I've been facing since I started developing [𝐏𝐝𝐟𝐈𝐭𝐃𝐨𝐰𝐧](https://github.com/AstraBert/PdfItDown) was handling correctly the conversion of files like Excel sheets and CSVs: table conversion was bad and messy, almost unusable for downstream tasks🫣
That's why today I'm excited to introduce 𝐫𝐞𝐚𝐝𝐞𝐫𝐬, the new feature of PdfItDown v1.4.0!🎉
With 𝘳𝘦𝘢𝘥𝘦𝘳𝘴, you can choose among three (for now👀) flavors of text extraction and conversion to PDF:
- 𝗗𝗼𝗰𝗹𝗶𝗻𝗴, which does a fantastic work with presentations, spreadsheets and word documents🦆
- 𝗟𝗹𝗮𝗺𝗮𝗣𝗮𝗿𝘀𝗲 by LlamaIndex, suitable for more complex and articulated documents, with mixture of texts, images and tables🦙
- 𝗠𝗮𝗿𝗸𝗜𝘁𝗗𝗼𝘄𝗻 by Microsoft, not the best at handling highly structured documents, by extremly flexible in terms of input file format (it can even convert XML, JSON and ZIP files!)✒️
You can use this new feature in your python scripts (check the attached code snippet!😉) and in the command line interface as well!🐍
Have fun and don't forget to star the repo on GitHub ➡️ https://github.com/AstraBert/PdfItDown
That's why today I'm excited to introduce 𝐫𝐞𝐚𝐝𝐞𝐫𝐬, the new feature of PdfItDown v1.4.0!🎉
With 𝘳𝘦𝘢𝘥𝘦𝘳𝘴, you can choose among three (for now👀) flavors of text extraction and conversion to PDF:
- 𝗗𝗼𝗰𝗹𝗶𝗻𝗴, which does a fantastic work with presentations, spreadsheets and word documents🦆
- 𝗟𝗹𝗮𝗺𝗮𝗣𝗮𝗿𝘀𝗲 by LlamaIndex, suitable for more complex and articulated documents, with mixture of texts, images and tables🦙
- 𝗠𝗮𝗿𝗸𝗜𝘁𝗗𝗼𝘄𝗻 by Microsoft, not the best at handling highly structured documents, by extremly flexible in terms of input file format (it can even convert XML, JSON and ZIP files!)✒️
You can use this new feature in your python scripts (check the attached code snippet!😉) and in the command line interface as well!🐍
Have fun and don't forget to star the repo on GitHub ➡️ https://github.com/AstraBert/PdfItDown
published a
dataset over 1 year ago