Post
1161
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
Smoliakov PRO
Yehor
AI & ML interests
Speech-to-Text, Text-to-Speech, Voice over Internet Protocol
Recent Activity
updated
a dataset
2 days ago
Yehor/reddit_clean-uk
published
a dataset
2 days ago
Yehor/reddit_clean-uk
liked
a dataset
2 days ago
SophieTr/reddit_clean
Organizations
reacted to
MohamedRashad's
post with 👍
7 days ago
replied to
their
post
25 days ago
Added a vice versa model: from Ukrainian to English - https://huggingface.co/spaces/Yehor/uk-en-translator
replied to
their
post
26 days ago
Also, now images: https://huggingface.co/spaces/Yehor/vision-en-uk-translator
replied to
their
post
26 days ago
Now you can translate your audios as well: https://huggingface.co/spaces/Yehor/audio-en-uk-translator
posted
an
update
27 days ago
Post
639
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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- 4 replies
posted
an
update
4 months ago
Post
852
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
4 months ago
Post
2490
Made a workable program that uses IREE runtime using Rust to inference wav2vec2-bert model for Automatic Speech Recognition.
- 1 reply
reacted to
leonardlin's
post with 👍
4 months ago
Post
2678
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
post
4 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
4 months ago
Post
2696
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
4 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
4 months ago
Post
2115
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
replied to
their
post
4 months ago
My channel in Telegram: https://t.me/doing_something
posted
an
update
4 months ago
Post
2259
Create spectrogram using Rust!
Slightly improved nice project that creates spectrogram and built binaries for different platform using cross-rs I've mentioned earlier in my channel.
Repo: https://github.com/crs-org/sonogram
Slightly improved nice project that creates spectrogram and built binaries for different platform using cross-rs I've mentioned earlier in my channel.
Repo: https://github.com/crs-org/sonogram
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- 1 reply
replied to
their
post
4 months ago
Tested the tool on Windows, it works as expected. It's now more easier to work with audio data than before!
posted
an
update
4 months ago
Post
670
Added more built executables to extract-audio I've released recently.
See my previous post - https://huggingface.co/posts/Yehor/654118712490771
Repository: https://github.com/crs-org/extract-audio
See my previous post - https://huggingface.co/posts/Yehor/654118712490771
Repository: https://github.com/crs-org/extract-audio
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- 1 reply
posted
an
update
4 months ago
Post
1948
Made a simple Python script to generate Argilla project for audio annotation from a dataset:
https://github.com/egorsmkv/argilla-audio-annotation
https://github.com/egorsmkv/argilla-audio-annotation
- 1 reply
posted
an
update
4 months ago
Post
2054
Are you interesting in different runtimes for AI models?
Check out IREE (iree.dev), it convert models to MLIR and then execute on different platforms.
I have tested it in Rust on CPU and CUDA: https://github.com/egorsmkv/eerie-yolo11
Check out IREE (iree.dev), it convert models to MLIR and then execute on different platforms.
I have tested it in Rust on CPU and CUDA: https://github.com/egorsmkv/eerie-yolo11
replied to
their
post
5 months ago
posted
an
update
5 months ago
Post
2238
Extract audio datasets with Rust on blazingly fast speeds!
With this tool you can extract audio files from a parquet or arrow file generated by Hugging Face datasets library.
Repository: https://github.com/egorsmkv/extract-audio
With this tool you can extract audio files from a parquet or arrow file generated by Hugging Face datasets library.
Repository: https://github.com/egorsmkv/extract-audio
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- 1 reply