Automatic Speech Recognition
PEFT
Safetensors
German
Swiss German
whisper
swiss-german
dialect
asr
speech-recognition
lora
fine-tuned
Eval Results (legacy)
Instructions to use Flix-AI/flix-swissgerman-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Flix-AI/flix-swissgerman-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSpeechSeq2Seq base_model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-large-v3") model = PeftModel.from_pretrained(base_model, "Flix-AI/flix-swissgerman-lora") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from Flix-AI/flix-swissgerman-lora: direct link, hf CLI and curl.
- Browser
- Download file 316 Bytes
-
https://huggingface.co/Flix-AI/flix-swissgerman-lora/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://Flix-AI/flix-swissgerman-lora/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/Flix-AI/flix-swissgerman-lora/resolve/main/preprocessor_config.json
316 Bytes
| { | |
| "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": false, | |
| "sampling_rate": 16000 | |
| } | |