Instructions to use spsither/wav2vec2_run6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spsither/wav2vec2_run6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="spsither/wav2vec2_run6")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("spsither/wav2vec2_run6") model = AutoModelForCTC.from_pretrained("spsither/wav2vec2_run6") - 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 sha256:70d0f36e2c802952094962f2d418906982a7539d93478bb6834f2fdb6b1eb519
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size 1262270732
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