Instructions to use efficient-nlp/teochew-whisper-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use efficient-nlp/teochew-whisper-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="efficient-nlp/teochew-whisper-medium")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("efficient-nlp/teochew-whisper-medium") model = AutoModelForSpeechSeq2Seq.from_pretrained("efficient-nlp/teochew-whisper-medium") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5ac74c258089be8620427330f948af9e7cc7378738557cb293e4ee8579a5b32f
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size 3055544360
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