Automatic Speech Recognition
PEFT
Safetensors
German
whisper
lora
singing-voice
lyrics-transcription
Instructions to use Petercoder/autolyrics-whisper-small-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Petercoder/autolyrics-whisper-small-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSpeechSeq2Seq base_model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-small") model = PeftModel.from_pretrained(base_model, "Petercoder/autolyrics-whisper-small-lora") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from Petercoder/autolyrics-whisper-small-lora: direct link, hf CLI and curl.
- Browser
- Download file 353 Bytes
-
https://huggingface.co/Petercoder/autolyrics-whisper-small-lora/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://Petercoder/autolyrics-whisper-small-lora/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/Petercoder/autolyrics-whisper-small-lora/resolve/main/preprocessor_config.json
353 Bytes
| { | |
| "chunk_length": 30, | |
| "feature_extractor_type": "WhisperFeatureExtractor", | |
| "feature_size": 80, | |
| "hop_length": 160, | |
| "n_fft": 400, | |
| "n_samples": 480000, | |
| "nb_max_frames": 3000, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "processor_class": "WhisperProcessor", | |
| "return_attention_mask": false, | |
| "sampling_rate": 16000 | |
| } | |