Automatic Speech Recognition
Transformers
ONNX
PEFT
whisper
polywhisper
indic-asr
hindi-asr
tamil-speech-recognition
telugu-stt
bengali-asr
marathi-speech-to-text
speech-recognition
multilingual
lora
hindi
tamil
telugu
bengali
marathi
indic-languages
indian-languages
speech-to-text
low-resource-asr
fleurs
indicvoices
quantized
efficient-asr
edge-asr
Eval Results (legacy)
Instructions to use eulogik/polywhisper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eulogik/polywhisper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="eulogik/polywhisper")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("eulogik/polywhisper") model = AutoModelForSpeechSeq2Seq.from_pretrained("eulogik/polywhisper", device_map="auto") - PEFT
How to use eulogik/polywhisper with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download config.json from eulogik/polywhisper: direct link, hf CLI and curl.
- Browser
- Download file 543 Bytes
-
https://huggingface.co/eulogik/polywhisper/resolve/main/config.json
- Command line
-
hf download hf://eulogik/polywhisper/config.json
-
curl -L -o config.json https://huggingface.co/eulogik/polywhisper/resolve/main/config.json
543 Bytes
| { | |
| "model_type": "whisper", | |
| "architectures": ["WhisperForConditionalGeneration"], | |
| "task": "automatic-speech-recognition", | |
| "languages": ["hi", "ta", "te", "bn", "mr"], | |
| "license": "apache-2.0", | |
| "base_model": "openai/whisper-small", | |
| "library_name": "transformers", | |
| "transformers_version": "4.44.2", | |
| "torch_version": "2.12.1", | |
| "adapter_type": "lora", | |
| "adapter_rank": 16, | |
| "polywhisper_version": "0.2.0", | |
| "note": "Per-language LoRA adapters on frozen whisper-small backbone. Use polywhisper Python package for inference." | |
| } | |