Instructions to use hf-internal-testing/tiny-random-wav2vec2-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-wav2vec2-adapter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hf-internal-testing/tiny-random-wav2vec2-adapter")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-wav2vec2-adapter") model = AutoModelForCTC.from_pretrained("hf-internal-testing/tiny-random-wav2vec2-adapter") - Notebooks
- Google Colab
- Kaggle
Commit ·
c799d13
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Parent(s): 7484300
add dummy weight
Browse files- adapter.it.bin +3 -0
adapter.it.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f8bfd0ac52f3a7d64bd4b9390e49a24aabc56d0e3a21ee69f00f1ab404425264
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size 19691
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