Instructions to use mskov/whisper-small-esc50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mskov/whisper-small-esc50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mskov/whisper-small-esc50")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mskov/whisper-small-esc50") model = AutoModelForSpeechSeq2Seq.from_pretrained("mskov/whisper-small-esc50") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
685b74a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:19b5fefb6501f6a91a47ddbc6573c26ef485f3f9f15c7209a4994e46c6c6e996
size 3771
|