Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Marathi
whisper
Generated from Trainer
Instructions to use simran14/stt-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simran14/stt-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="simran14/stt-1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("simran14/stt-1") model = AutoModelForSpeechSeq2Seq.from_pretrained("simran14/stt-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from simran14/stt-1: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/simran14/stt-1/resolve/main/training_args.bin
- Command line
-
hf download hf://simran14/stt-1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/simran14/stt-1/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 818685b8f315825100330267d41c95d118ccb39b920b0449c7be965ba9c568e4
- Size of remote file:
- 5.37 kB
- SHA256:
- f0385d7a421845541c0a03dfab108a35c4da97f5357b05cf74705df247154801
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