--- license: other license_name: whissle-inference-only-1.0 license_link: LICENSE language: - gu - en pipeline_tag: automatic-speech-recognition tags: - asr - onnx - cpu - wav2vec2 base_model: - facebook/wav2vec2-large library_name: nemo extra_gated_heading: "Access Whissle STT Gujlish on Hugging Face" extra_gated_description: > This model is licensed for inference only — no training, fine-tuning, distillation, or reverse engineering permitted. Accept the license to access. Automatic approval. extra_gated_button_content: "Agree and access repository" extra_gated_fields: First Name: text Last Name: text Organization: text Country: country Date of birth: date_picker I want to use this model for: type: select options: - Research - Education - Commercial product - Personal project - label: Other value: other I accept the Whissle Inference-Only License Agreement: checkbox extra_gated_prompt: >- By clicking "Agree", you accept the Whissle Inference-Only License Agreement. See the LICENSE file for full terms. Key restrictions: INFERENCE ONLY — no training, fine-tuning, distillation, model compression, or reverse engineering permitted. Free for inference use under 100M MAU. "Powered by Whissle" attribution required for redistribution. --- # Whissle STT Gujlish Gujarati-English code-mixed (Gujlish) speech recognition model based on wav2vec2 architecture. Processes raw waveform input directly — no mel-spectrogram preprocessing required. ## Model Details | | | |---|---| | **Architecture** | wav2vec2-large (raw waveform CTC) | | **Download size** | ~363 MB | | **Format** | ONNX (CPU and GPU compatible) | | **Sample rate** | 16 kHz mono | | **Languages** | Gujarati, English, Gujarati-English code-mixed | | **Tag classifier** | None (transcription only) | ## Quick Start ```bash git clone https://github.com/WhissleAI/whissle_stt_inference.git cd whissle_stt_inference ./setup.sh --model gj ``` ## License [Whissle Inference-Only License](./LICENSE) — inference only, no training/fine-tuning/distillation/reverse engineering. Free under 100M MAU.