A speaker embedding model: audio in, a 256-dimensional voice print out. It is the WeSpeaker ResNet293 model, fine-tuned on short speech windows from the TV show "Survivor". It tells apart people in ...
How to use JackDH/microduck-sock-heist-20261102-seed1 with Microduck: # Replace SLOT with the slot specified in the model card (walk, stand, sitstand, ground_pick, kick_left, kick_right, roulade).
Two small models that sort email on the user's own machine. Both are BAAI/bge-small-en-v1.5 (33.4M parameters) fine-tuned end to end and exported to float32 ONNX. They run on CPU with ONNX Runtime and ...
Add Belarusian (20000 samples, translated from en) about 20 hours ago bg Add Bulgarian (20000 samples, translated from en) about 20 hours ago ca Add Catalan (20000 samples, translated from en) about ...
How to use yujiepan/lfm3-vl-tiny-random with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to ...
curl -L -o IYEORI_Fourier_Research.pdf https://huggingface.co/datasets/PureOne/IYEORI-Fourier-Spectra-and-Inverse-Compression/resolve/main/research/IYEORI_Fourier ...
How to use rubsj/falcon-7b-sharded-bf16-finetuned-html-code-generation with Transformers: # pip install -U transformers accelerate # Load model directly from ...
How to use GameGC/sana-600m-512px-fp8-fp4 with Sana: # Load the model and infer image from text import torch from app.sana_pipeline import SanaPipeline from ...
ONNX exports of three AudioSet sound taggers, used by the Transcriptor desktop app to find sounds (shots, laughs, music…) in a recording. They run locally with ONNX Runtime; nothing is sent anywhere.
Predicts masks for 4 defect types on 128 x 800 grayscale images. Three models are saved here: model1_tiny_unet (from scratch), model2_unet_resnet34 and model3_fpn_convnext_small (both pretrained ...
Code first: NEWUSER50 belongs in the mobile Pump.Fun App while the account still has no fiat purchase. At least 1 USD: smaller first buys fall outside the offer.
The vision encoder of Qwen/Qwen3-VL-30B-A3B-Instruct, DeepStack outputs included, compiled for Core ML in fp16. It lets a Qwen3-VL-30B-A3B-Instruct GGUF answer questions about images in tempo9: a GGUF ...
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