Instructions to use D4ve-R/wav2vec2-large-xlsr-53-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use D4ve-R/wav2vec2-large-xlsr-53-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="D4ve-R/wav2vec2-large-xlsr-53-german")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("D4ve-R/wav2vec2-large-xlsr-53-german") model = AutoModelForCTC.from_pretrained("D4ve-R/wav2vec2-large-xlsr-53-german") - 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 sha256:7b54cdfaa74e3e1b786adcf15d7357469899c2b3c92263f59fb1276e58d76693
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size 1261963232
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