Automatic Speech Recognition
Transformers
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use razhan/whisper-base-hawrami-translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use razhan/whisper-base-hawrami-translation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="razhan/whisper-base-hawrami-translation")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("razhan/whisper-base-hawrami-translation") model = AutoModelForSpeechSeq2Seq.from_pretrained("razhan/whisper-base-hawrami-translation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 786defc476ec864045574f7af23168ef2e1d58c888fc27c77c6bbe85158b10cf
- Size of remote file:
- 290 MB
- SHA256:
- b2d5a452b16c08dce4420a946995fef7f2072bca60aaff8331c3fbc13d2f3fe6
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