Instructions to use xrverse/whisper-small-hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xrverse/whisper-small-hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="xrverse/whisper-small-hi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("xrverse/whisper-small-hi") model = AutoModelForSpeechSeq2Seq.from_pretrained("xrverse/whisper-small-hi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca5fa1de9468761cf06317c720064b50e72c2e5dd95c8be16d3d02838a7e527c
- Size of remote file:
- 967 MB
- SHA256:
- bb745743a39600b2731852b4b17e394063cf3d16c321bca3225099cbfa01f6f5
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