Instructions to use Subhadeep/whisper-tiny-Hi-Bank_ksv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Subhadeep/whisper-tiny-Hi-Bank_ksv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Subhadeep/whisper-tiny-Hi-Bank_ksv")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Subhadeep/whisper-tiny-Hi-Bank_ksv") model = AutoModelForSpeechSeq2Seq.from_pretrained("Subhadeep/whisper-tiny-Hi-Bank_ksv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
processor = AutoProcessor.from_pretrained("Subhadeep/whisper-tiny-Hi-Bank_ksv")
model = AutoModelForSpeechSeq2Seq.from_pretrained("Subhadeep/whisper-tiny-Hi-Bank_ksv", device_map="auto")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Subhadeep/whisper-tiny-Hi-Bank_ksv")