Instructions to use MariaK/whisper-tiny-minds-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MariaK/whisper-tiny-minds-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MariaK/whisper-tiny-minds-v1")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MariaK/whisper-tiny-minds-v1") model = AutoModelForSpeechSeq2Seq.from_pretrained("MariaK/whisper-tiny-minds-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 767158a4d555b4ffdaf17b7e6d8327b0a2bcf8f17af755b13c5bf68be4132e17
- Size of remote file:
- 4.09 kB
- SHA256:
- 6fc2f591a90cd05d559344fa13e63ff237586cf01b2032d82b9454f3642aeb30
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