Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Marathi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use simran14/mr-val-j with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simran14/mr-val-j with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="simran14/mr-val-j")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("simran14/mr-val-j") model = AutoModelForSpeechSeq2Seq.from_pretrained("simran14/mr-val-j", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from simran14/mr-val-j: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/simran14/mr-val-j/resolve/main/training_args.bin
- Command line
-
hf download hf://simran14/mr-val-j/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/simran14/mr-val-j/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- b2059c7f6764f4c127a180c2ac78349284e1557d62166e7d0dd94225bd50362f
- Size of remote file:
- 5.37 kB
- SHA256:
- 6532425bc6802de5b7d74d1cc7ed79af3866f69b58666d38e880579a77391f82
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