Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use PolyChirag/Marathi_ASR_using_xlsr_wav2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PolyChirag/Marathi_ASR_using_xlsr_wav2vec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="PolyChirag/Marathi_ASR_using_xlsr_wav2vec")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("PolyChirag/Marathi_ASR_using_xlsr_wav2vec") model = AutoModelForCTC.from_pretrained("PolyChirag/Marathi_ASR_using_xlsr_wav2vec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from PolyChirag/Marathi_ASR_using_xlsr_wav2vec: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/PolyChirag/Marathi_ASR_using_xlsr_wav2vec/resolve/main/training_args.bin
- Command line
-
hf download hf://PolyChirag/Marathi_ASR_using_xlsr_wav2vec/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/PolyChirag/Marathi_ASR_using_xlsr_wav2vec/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 635610aa8e47034ad4e9a2f860a38bc6641dcb237f777c71b76b3b4ea37a4a95
- Size of remote file:
- 5.05 kB
- SHA256:
- 5b184d2e4e80233a2d0735ea7cb0c5c654642af73b0047f9be063b25de7f0819
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