Instructions to use Simih/pidgin_asr_audio_llm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Simih/pidgin_asr_audio_llm with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Simih/pidgin_asr_audio_llm") model = AutoModelForMultimodalLM.from_pretrained("Simih/pidgin_asr_audio_llm") - Notebooks
- Google Colab
- Kaggle
| { | |
| "audio_bos_token": "<|audio_bos|>", | |
| "audio_eos_token": "<|audio_eos|>", | |
| "audio_token": "<|AUDIO|>", | |
| "feature_extractor": { | |
| "chunk_length": 30, | |
| "dither": 0.0, | |
| "feature_extractor_type": "WhisperFeatureExtractor", | |
| "feature_size": 128, | |
| "hop_length": 160, | |
| "n_fft": 400, | |
| "n_samples": 480000, | |
| "nb_max_frames": 3000, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000 | |
| }, | |
| "processor_class": "Qwen2AudioProcessor" | |
| } | |