Post
113
A useful tool for all who works with audio datasets: https://github.com/RustedBytes/data-viewer-audio
Smoliakov PRO
Yehor
AI & ML interests
Speech-to-Text, Text-to-Speech, Voice over Internet Protocol
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updated
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2 days ago
Yehor/citrinet-models-onnx
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2 days ago
Yehor/citrinet-models-onnx
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1 day ago
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mitkox's
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3 months ago
Post
2803
Say hello to my little friends! I just unboxed this trio of HP Z2 G1a!
Three is always better than one!
3x AMD Ryzen AI Max+ Pro 395
384GB RAM
24TB of RAID storage
Ubuntu 24.04
ROCm 7.0.2
llama cpp, vLLM and Aibrix
Small, cheap GPUs are about to become the Raspberry Pi of edge AI inference. Sprinkle some
Make sure you own your AI. AI in the cloud is not aligned with you; it’s aligned with the company that owns it.
Three is always better than one!
3x AMD Ryzen AI Max+ Pro 395
384GB RAM
24TB of RAID storage
Ubuntu 24.04
ROCm 7.0.2
llama cpp, vLLM and Aibrix
Small, cheap GPUs are about to become the Raspberry Pi of edge AI inference. Sprinkle some
kubectl fairy dust on top, and suddenly it's a high-availability, self-healing, cloud-native, enterprise-grade AI cluster camping in a closet.Make sure you own your AI. AI in the cloud is not aligned with you; it’s aligned with the company that owns it.
- 3 replies
where can I try it?
replied to
their
post
3 months ago
Added this tool: https://github.com/RustedBytes/audio-parquet-merger
replied to
their
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3 months ago
Now with inference on Rust: https://github.com/egorsmkv/kulyk-rust
posted
an
update
3 months ago
Post
279
Containerized
Yehor/kulyk-en-uk and
Yehor/kulyk-uk-en so you can just pull an image and run CPU-version to do machine translation:
docker run -p 3000:3000 --rm ghcr.io/egorsmkv/kulyk-rust:latest
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MohamedRashad's
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5 months ago
Post
3275
If someone is interested in trying the new
rednote-hilab/dots.ocr model. I made this space for you:
MohamedRashad/Dots-OCR
MohamedRashad/Dots-OCR
- 2 replies
replied to
their
post
6 months ago
Added a vice versa model: from Ukrainian to English - https://huggingface.co/spaces/Yehor/uk-en-translator
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6 months ago
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6 months ago
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posted
an
update
6 months ago
Post
767
A new lightweight model to do machine translation from English to Ukrainian using recently published LFM2 model. Use demo
Yehor/en-uk-translator to test it.
Facts:
- Fine-tuned with 40M samples (filtered by quality metric) from ~53.5M for 1.4 epochs
- 354M params
- Requires 1 GB of RAM to run with bf16
- BLEU on FLORES-200: 27.24
- Tokens per second: 229.93 (bs=1), 1664.40 (bs=10), 8392.48 (bs=64)
- License: lfm1.0
Mode page: Yehor/kulyk-en-uk
Facts:
- Fine-tuned with 40M samples (filtered by quality metric) from ~53.5M for 1.4 epochs
- 354M params
- Requires 1 GB of RAM to run with bf16
- BLEU on FLORES-200: 27.24
- Tokens per second: 229.93 (bs=1), 1664.40 (bs=10), 8392.48 (bs=64)
- License: lfm1.0
Mode page: Yehor/kulyk-en-uk
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- 5 replies
posted
an
update
9 months ago
Post
963
Esoteric practices: inference models in PHP!
Repository: https://github.com/egorsmkv/speech-to-text-using-php
Repository: https://github.com/egorsmkv/speech-to-text-using-php
posted
an
update
9 months ago
Post
2508
Made a workable program that uses IREE runtime using Rust to inference wav2vec2-bert model for Automatic Speech Recognition.
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leonardlin's
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9 months ago
Post
2694
Happy to announce the release of Shisa V2, our latest generation of our bilingual Japanese-English language models. After hundreds of ablations and months of work, we're releasing some of the strongest open Japanese models at 7B, 8B, 12B, 14B, 32B and 70B! Full announcement here https://shisa.ai/posts/shisa-v2/ or visit the Shisa V2 HF collection:
shisa-ai/shisa-v2-67fc98ecaf940ad6c49f5689
replied to
their
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9 months ago
Also, tested it on A100 with TensorRT:
https://colab.research.google.com/drive/1-agoo5ll-hWEecWQAtO1FM39sqavJxph?usp=sharing
Results are not so obvious, but it works base_rfdetr_fp16.onnx model and gives ~10ms/img
posted
an
update
9 months ago
Post
2703
I have made a Rust project with integration of the latest state-of-the-art model for object detection, it outperforms YOLO!
Check it out: https://github.com/egorsmkv/rf-detr-usls
Check it out: https://github.com/egorsmkv/rf-detr-usls
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- 2 replies
replied to
their
post
9 months ago
This program does what datasets does. When you push dataset created by the audiofolder script, it creates parquet data and shard them internally.
So, you can use audios-to-dataset instead if you need faster speeds than datasets provides.
posted
an
update
9 months ago
Post
2130
Convert your audio data to Parquet/DuckDB files with blazingly fast speeds!
Repository with pre-built binaries: https://github.com/crs-org/audios-to-dataset
Repository with pre-built binaries: https://github.com/crs-org/audios-to-dataset
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- 2 replies