Instructions to use charsiu/WavEmbed-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use charsiu/WavEmbed-50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="charsiu/WavEmbed-50")# Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("charsiu/WavEmbed-50") model = AutoModelForSpeechSeq2Seq.from_pretrained("charsiu/WavEmbed-50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:1a4fcb17f934ab2e7e910dcaedde9daa29bc4a20cce5072e5252d4dcd2b70207
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size 835369168
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