Automatic Speech Recognition
Transformers
Safetensors
Marathi
whisper
ASR
Whisper
speech
recognition
speech_recognition
Instructions to use bharatddd/Whisper-Marathi-Finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bharatddd/Whisper-Marathi-Finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bharatddd/Whisper-Marathi-Finetuned")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bharatddd/Whisper-Marathi-Finetuned") model = AutoModelForSpeechSeq2Seq.from_pretrained("bharatddd/Whisper-Marathi-Finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e6e1a086436a50026bcfdcf2da1409c474b9dd02830dab6dffa24027a380ad9
- Size of remote file:
- 967 MB
- SHA256:
- c064023ff553a8d0633be36115dd133ffb56cc3d4d54cdd8837a3d0566fd784d
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