Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Marathi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use PolyChirag/Marathi_ASR_using_Whisper_Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PolyChirag/Marathi_ASR_using_Whisper_Small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="PolyChirag/Marathi_ASR_using_Whisper_Small")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("PolyChirag/Marathi_ASR_using_Whisper_Small") model = AutoModelForSpeechSeq2Seq.from_pretrained("PolyChirag/Marathi_ASR_using_Whisper_Small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from PolyChirag/Marathi_ASR_using_Whisper_Small: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/PolyChirag/Marathi_ASR_using_Whisper_Small/resolve/main/training_args.bin
- Command line
-
hf download hf://PolyChirag/Marathi_ASR_using_Whisper_Small/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/PolyChirag/Marathi_ASR_using_Whisper_Small/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 282f384393e5519248b238a8e9bbe55b91895a02cd77d30e74fa31fa15e148c2
- Size of remote file:
- 5.18 kB
- SHA256:
- ae7d903551ac3a8ba2b08b14fef7f388f2511936cc48f3c97d117b4c55cb5c6f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.