Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Marathi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use PolyChirag/Marathi_WhisperASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PolyChirag/Marathi_WhisperASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="PolyChirag/Marathi_WhisperASR")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("PolyChirag/Marathi_WhisperASR") model = AutoModelForSpeechSeq2Seq.from_pretrained("PolyChirag/Marathi_WhisperASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from PolyChirag/Marathi_WhisperASR: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/PolyChirag/Marathi_WhisperASR/resolve/main/training_args.bin
- Command line
-
hf download hf://PolyChirag/Marathi_WhisperASR/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/PolyChirag/Marathi_WhisperASR/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- a0aef673ad0a2c9cb7b5ec8844a5442f5740e12e36d719c01e41d3a8cdf18ea4
- Size of remote file:
- 5.11 kB
- SHA256:
- 171021ec65fcb2d31ad709e7134d5f565b3655630af9268009777dd1fa1c028f
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