Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Marathi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use simran14/mr-iteration1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simran14/mr-iteration1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="simran14/mr-iteration1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("simran14/mr-iteration1") model = AutoModelForSpeechSeq2Seq.from_pretrained("simran14/mr-iteration1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from simran14/mr-iteration1: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/simran14/mr-iteration1/resolve/main/training_args.bin
- Command line
-
hf download hf://simran14/mr-iteration1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/simran14/mr-iteration1/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 560f57817f0f71674b4605ed173302c86e31509591c2408ee1712d1a032711a7
- Size of remote file:
- 5.37 kB
- SHA256:
- c18cf934171d714679583db9b5e26c76057257840f85b2aa5a92d5617640597d
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