Wav2Vec2 Xls R 300M Cs 250 -- GGUF

Available variants

Model details

• Architecture: Wav2Vec2ForCTC
• Hidden size: 1024
• Attention heads: 16
• Transformer layers: 24
• CTC vocabulary: 46 tokens
• Language: Czech
• Base model: comodoro/wav2vec2-xls-r-300m-cs-250

Usage with CrispASR

Provenance

License

Provenance and EU AI Act Art. 53 note

• Upstream model: comodoro/wav2vec2-xls-r-300m-cs-250 — published by comodoro.
• Upstream licence: apache-2.0. This repository redistributes under the same terms; it grants no rights the upstream licence does not.
• What was done here: format conversion and/or quantisation only (GGUF/GGML). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs.
• Training data: documented — where it is documented at all — by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository.
• Provider status: under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about training content, copyright policy or model capability belong upstream.