Automatic Speech Recognition
Transformers
Safetensors
Tajik
whisper
hf-asr-leaderboard
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use muhtasham/whisper-tg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muhtasham/whisper-tg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="muhtasham/whisper-tg")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("muhtasham/whisper-tg") model = AutoModelForSpeechSeq2Seq.from_pretrained("muhtasham/whisper-tg") - Notebooks
- Google Colab
- Kaggle
Ctrl+K