Automatic Speech Recognition
Transformers
JAX
Safetensors
whisper
audio
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use Varosa/whisper-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Varosa/whisper-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Varosa/whisper-medium")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Varosa/whisper-medium") model = AutoModelForSpeechSeq2Seq.from_pretrained("Varosa/whisper-medium") - Notebooks
- Google Colab
- Kaggle
upload model files
Browse files- flax_model.msgpack +3 -0
- model.safetensors +3 -0
flax_model.msgpack
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model.safetensors
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