Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hindi
whisper
Generated from Trainer
Instructions to use Mahshd/Data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahshd/Data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mahshd/Data")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Mahshd/Data") model = AutoModelForSpeechSeq2Seq.from_pretrained("Mahshd/Data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Mahshd/Data: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Mahshd/Data/resolve/main/training_args.bin
- Command line
-
hf download hf://Mahshd/Data/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mahshd/Data/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 24295ebce7283cc8a3ae424b34056d77ceb710e9b532b26baa75c71f7230c1bd
- Size of remote file:
- 5.3 kB
- SHA256:
- 72a0458ff2e7a28f41c2d849f10c7960f9a850b10261f3f0d4cdbc0b8c461c33
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