Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
JAX
whisper
audio
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use aditii09/whisper_eng_asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aditii09/whisper_eng_asr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aditii09/whisper_eng_asr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("aditii09/whisper_eng_asr") model = AutoModelForSpeechSeq2Seq.from_pretrained("aditii09/whisper_eng_asr") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot