Instructions to use Hunzla/whisper-base-hi-2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hunzla/whisper-base-hi-2000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Hunzla/whisper-base-hi-2000")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Hunzla/whisper-base-hi-2000") model = AutoModelForSpeechSeq2Seq.from_pretrained("Hunzla/whisper-base-hi-2000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (e5625e3b877a6a8038edf0892f4c57fa40c9d310)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
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