How to use Rangan00/Sanskrit_STT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Rangan00/Sanskrit_STT")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Rangan00/Sanskrit_STT") model = AutoModelForCTC.from_pretrained("Rangan00/Sanskrit_STT", device_map="auto")
https://huggingface.co/Rangan00/Sanskrit_STT/resolve/main/README.md
hf download hf://Rangan00/Sanskrit_STT/README.md
curl -L -o README.md https://huggingface.co/Rangan00/Sanskrit_STT/resolve/main/README.md
license: apache-2.0 library_name: transformers
