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 training_args.bin from Rangan00/Sanskrit_STT: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/Rangan00/Sanskrit_STT/resolve/main/training_args.bin
- Command line
-
hf download hf://Rangan00/Sanskrit_STT/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Rangan00/Sanskrit_STT/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 78ddd3c2aed3b82b1e216474a955bda32422a81621e6c47aba14884cc31c80d3
- Size of remote file:
- 5.05 kB
- SHA256:
- 49aeb2d07bd871f6024ac1f79ea538091770c67576149fcccdf9c63962e52cc1
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