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48.7
TFLOPS
7
25
40
Nicolay Rusnachenko
nicolay-r
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210 followers
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11 following
https://nicolayr.com/
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nicolay-r
nicolay-r
nicolayr.com
AI & ML interests
NLP for Healthcare βοΈ @BU_Researchγ»PhD in NLP / IR γ»Textual Information Retrieval
Recent Activity
posted
an
update
about 23 hours ago
π’ If your're around medical / healthcare domain and textual NLP for reprort summarization, then this post would be revelant to check out. We're coming to reveal more details on broader evaluation of the previsouly released here: https://huggingface.co/nicolay-r/qwen25-05b-multiclinsum-distil So far, BioASQ organizers as CLEF-2025 reveal the complete leaderboard of other submissions (see image below). Our distil-tuned Qwen2.5-0.5B (BU-Team) has been ofically ranked as the second-best performing system in French! π«π· We also investigate the strongest recall of key aspects among all participants β demonstrating the value of adopted fine-tuning strategy. π Paper Card: https://nicolayr.com/#bioasq2025 π Poster: https://github.com/nicolay-r/distil-tuning-llm/blob/master/poster-bioasq2025.pdf
upvoted
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changelog
8 days ago
Introducing HF Jobs: Run scalable compute jobs on Hugging Face
posted
an
update
24 days ago
π’ For those who interested in adopting streaming with bare minimum dependencies and setting up a GenAI powered demo in Web, this post might be relevant. Streaming support is inevitable for running local or remote models. Delighted to share the first part of the tutorial. π¬ https://youtu.be/XgByPLLsiCI From which you will learn how to: βοΈ Use pure JS for fetching streaming from the specific provider (Replicate) βοΈ Use pure JS with custom proxy streaming provider (FastAPI) β¨ TLDR: We review POST-based approaches for fetching data readers and adopting data parsers. Using FastAPI as a proxy, we explain how to take control over transferred data. Resources: π» JS: https://gist.github.com/nicolay-r/86fc212086c0955d541244253ec0564b π» JS+FastAPI: https://gist.github.com/nicolay-r/840425749cf6d3e397da3d329e894d59
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nicolay-r/flan-t5-emotion-cause-thor-base
Text Generation
β’
0.2B
β’
Updated
Aug 8
β’
4
β’
1
nicolay-r/flan-t5-tsa-prompt-xl
Text Generation
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3B
β’
Updated
Aug 8
β’
5
β’
1
nicolay-r/flan-t5-tsa-thor-xl
Text Generation
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3B
β’
Updated
Aug 8
β’
8
β’
3
nicolay-r/flan-t5-tsa-thor-large
Text Generation
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0.8B
β’
Updated
Aug 8
β’
4
nicolay-r/flan-t5-tsa-thor-base
Text Generation
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0.2B
β’
Updated
Aug 8
β’
9
β’
1
nicolay-r/qwen25-05b-multiclinsum-standard
Text Generation
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0.5B
β’
Updated
Jul 13
β’
7
nicolay-r/qwen25-05b-multiclinsum-distil
Text Generation
β’
0.5B
β’
Updated
Jul 13
β’
18
β’
1