Automatic Speech Recognition
Transformers
Safetensors
Hindi
whisper
speech-recognition
hindi
hinglish
Instructions to use MmeOG/MME_STT_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MmeOG/MME_STT_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MmeOG/MME_STT_Model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MmeOG/MME_STT_Model") model = AutoModelForSpeechSeq2Seq.from_pretrained("MmeOG/MME_STT_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from MmeOG/MME_STT_Model: direct link, hf CLI and curl.
- Browser
- Download file 3.93 MB
-
https://huggingface.co/MmeOG/MME_STT_Model/resolve/main/tokenizer.json
- Command line
-
hf download hf://MmeOG/MME_STT_Model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MmeOG/MME_STT_Model/resolve/main/tokenizer.json
3.93 MB
File too large to display, you can check the raw version instead.