Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Marathi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use simran14/mr-val-k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simran14/mr-val-k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="simran14/mr-val-k")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("simran14/mr-val-k") model = AutoModelForSpeechSeq2Seq.from_pretrained("simran14/mr-val-k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from simran14/mr-val-k: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/simran14/mr-val-k/resolve/main/training_args.bin
- Command line
-
hf download hf://simran14/mr-val-k/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/simran14/mr-val-k/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 8c25c47dc76a6b58fb94a0f36a0e0cfb86bcd921334a1e7298e99daf6152a4ad
- Size of remote file:
- 5.37 kB
- SHA256:
- eb4883596beccf650ef7f022385ab94f0d9d2bd655f6284337f772f48cd5178b
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