Automatic Speech Recognition
Transformers
PyTorch
Marathi
wav2vec2
mozilla-foundation/common_voice_8_0
Generated from Trainer
Instructions to use anuragshas/wav2vec2-xls-r-300m-mr-cv8-with-lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anuragshas/wav2vec2-xls-r-300m-mr-cv8-with-lm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="anuragshas/wav2vec2-xls-r-300m-mr-cv8-with-lm")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("anuragshas/wav2vec2-xls-r-300m-mr-cv8-with-lm") model = AutoModelForCTC.from_pretrained("anuragshas/wav2vec2-xls-r-300m-mr-cv8-with-lm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from anuragshas/wav2vec2-xls-r-300m-mr-cv8-with-lm: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/anuragshas/wav2vec2-xls-r-300m-mr-cv8-with-lm/resolve/main/training_args.bin
- Command line
-
hf download hf://anuragshas/wav2vec2-xls-r-300m-mr-cv8-with-lm/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/anuragshas/wav2vec2-xls-r-300m-mr-cv8-with-lm/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- 23cf91e03436b4ad87153a6262725350c46873f451aa80baa72d040772299538
- Size of remote file:
- 2.99 kB
- SHA256:
- 4dda50e8d033ff58fce08a3df793038cec93bab1882bd15067b7a1b8bd61eac2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.