Hugging Face model: ShuaiAnwo/pore-codec-rsq742c12a-516
Author: ShuaiAnwo
Created: 2026-06-30 07:36:12
Last modified: 2026-06-30 07:57:27
Pipeline: feature-extraction
Library: transformers
Likes: 0 | Downloads: 3
Tags: transformers, safetensors, pore_codec_rsq742c12a, feature-extraction, nanopore, nanopore-sequencing, signal-processing, neural-codec, residual-fsq, finite-scalar-quantization, vector-quantization, representation-learning, foundation-model, biological-signals, genomics, bioinformatics, pytorch, custom_code, en, dataset:ShuaiAnwo/PoreDNA_S1_HG002_MOD_250F701901011_A50, dataset:ShuaiAnwo/PoreDNA_S0_HG002_UMD_250F601844011_A50, dataset:ShuaiAnwo/PoreDNA_S0_HG002_MOD_250F701586013_A50, dataset:ShuaiAnwo/PoreDNA_S0_HG002_MOD_250F701586014_A50, dataset:ShuaiAnwo/PoreRNA_S0_HEK293T_MOD_250NC02303011_A50, dataset:ShuaiAnwo/PoreRNA_S0_HEK293T_MOD_250NC02106021_A50, license:apache-2.0, region:us
Card metadata:
license: apache-2.0
pipeline_tag: feature-extraction
library_name: transformers
language: en
datasets: ShuaiAnwo/PoreDNA_S1_HG002_MOD_250F701901011_A50, ShuaiAnwo/PoreDNA_S0_HG002_UMD_250F601844011_A50, ShuaiAnwo/PoreDNA_S0_HG002_MOD_250F701586013_A50, ShuaiAnwo/PoreDNA_S0_HG002_MOD_250F701586014_A50, ShuaiAnwo/PoreRNA_S0_HEK293T_MOD_250NC02303011_A50, ShuaiAnwo/PoreRNA_S0_HEK293T_MOD_250NC02106021_A50
tags: nanopore, nanopore-sequencing, signal-processing, neural-codec, residual-fsq, finite-scalar-quantization, vector-quantization, representation-learning, feature-extraction, foundation-model, biological-signals, genomics, bioinformatics, transformers, pytorch