Instructions to use Rangan00/Sanskrit_STT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Rangan00/Sanskrit_STT: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/Rangan00/Sanskrit_STT/resolve/main/model.safetensors
- Command line
-
hf download hf://Rangan00/Sanskrit_STT/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Rangan00/Sanskrit_STT/resolve/main/model.safetensors
378 MB
- Xet hash:
- c7b7195597b9c47b54efedc014ab32b8387a05c0d35cd808a34f3fb29a75dc8a
- Size of remote file:
- 378 MB
- SHA256:
- bc52a43f6dd7d4fae28f132fcb2ec3e548275d65c7f3609b3dc5af5c221006a8
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