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 special_tokens_map.json from Rangan00/Sanskrit_STT: direct link, hf CLI and curl.
- Browser
- Download file 102 Bytes
-
https://huggingface.co/Rangan00/Sanskrit_STT/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://Rangan00/Sanskrit_STT/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/Rangan00/Sanskrit_STT/resolve/main/special_tokens_map.json
102 Bytes
| { | |
| "bos_token": "<s>", | |
| "eos_token": "</s>", | |
| "pad_token": "<pad>", | |
| "unk_token": "<unk>" | |
| } | |