Wav2vec2 Base 960h GGUF

--- language: en license: apache-2.0 tags: - gguf - asr - speech-recognition - ctc - forced-alignment - wav2vec2 - crispasr base_model: facebook/wav2vec2-base-960h pipeline_tag: automatic-speech-recognition --- # wav2vec2-base-960h — GGUF GGUF conversion of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) for [CrispASR](https://github.com/CrispStrobe/CrispASR). This model is primarily used as a **CTC forced aligner** — it produces word-level timestamps by aligning a known transcript to audio. It can also perform standalone ASR via CTC greedy decode. ## Architecture - **wav2vec2-base**: 12-layer transformer encoder (768-dim, 12 heads) - **CTC head**: Linear(768, 32) — character-level English vocabulary - **Feature extractor**: 7-layer CNN (raw waveform -> 512-dim features) - **Input**: 16 kHz mono audio - **Training**: 960 hours of LibriSpeech (supervised CTC fine-tune) ## Files | File | Size | Description | |------|------|-------------| | `wav2vec2-base-960h.gguf` | 197 MB | Full precision (F16 weights, F32 norms) | ## Usage with CrispASR ### Forced alignment (word-level timestamps) ```bash # Align a transcript to audio — produces word-level SRT: crispasr --align-only \ -am wav2vec2-base-960h.gguf \ -f audio.wav \ --ref-text "The quick brown fox jumps over the lazy dog." \ --align-format srt --align-output aligned.srt # Or align from an existing SRT (re-time the cues): crispasr --align-only \ -am wav2vec2-base-960h.gguf \ -f audio.wav \ --text-file subtitles.srt \ --align-output retimed.srt ``` ### As an aligner companion for LLM ASR backends ```bash # Word timestamps for any backend that lacks native ones: crispasr --backend granite -m auto \ -am wav2vec2-base-960h.gguf --force-aligner \ -f audio.wav -osrt ``` ### Auto-download ```bash # The aligner is auto-downloaded when using -am auto: crispasr --backend granite -m auto \ -am auto --force-aligner \ -f audio.wav -osrt ``` ## License Apache 2.0 (same as the original model). ## Credits - Original model: [Facebook AI / Meta](https://huggingface.co/facebook/wav2vec2-base-960h) - GGUF conversion & runtime: [CrispASR](https://github.com/CrispStrobe/CrispASR) ## Provenance and EU AI Act Art. 53 note - **Upstream model:** [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) — published by `facebook`. - **Upstr...