Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Marathi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use simran14/mr-val-dn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simran14/mr-val-dn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="simran14/mr-val-dn")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("simran14/mr-val-dn") model = AutoModelForSpeechSeq2Seq.from_pretrained("simran14/mr-val-dn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from simran14/mr-val-dn: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/simran14/mr-val-dn/resolve/main/training_args.bin
- Command line
-
hf download hf://simran14/mr-val-dn/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/simran14/mr-val-dn/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- ea578306668532d7a196cd40aa4509e9f92afc745813d098dcb1e0e418acbddb
- Size of remote file:
- 5.3 kB
- SHA256:
- 6a2c627013d46503622ae33622597b683bcdb958a2c3d731ef51bac4622e8843
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