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")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Mahshd/Data") model = AutoModelForSpeechSeq2Seq.from_pretrained("Mahshd/Data") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62dcf690f983526bafef1805b450eeb2f7e2182f4f35c79ccb7fd82ae7d29dc0
- Size of remote file:
- 967 MB
- SHA256:
- 1d7734884874f1a1513ed9aa760a4f8e97aaa02fd6d93a3a85d27b2ae9ca596b
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