Instructions to use darthPanda/whisper-small-ur1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darthPanda/whisper-small-ur1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="darthPanda/whisper-small-ur1")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("darthPanda/whisper-small-ur1") model = AutoModelForSpeechSeq2Seq.from_pretrained("darthPanda/whisper-small-ur1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08c3669260daeccefb22200b087c7002971b39416822777acda776668f11ecae
- Size of remote file:
- 4.16 kB
- SHA256:
- fdcc7e59d23279b5307a766de94055c92ddc0623e7a98a1560f20e844dd4a049
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