Instructions to use BilalS96/wav2vec2-base-issai-colab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BilalS96/wav2vec2-base-issai-colab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="BilalS96/wav2vec2-base-issai-colab")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("BilalS96/wav2vec2-base-issai-colab") model = AutoModelForCTC.from_pretrained("BilalS96/wav2vec2-base-issai-colab") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc321f1d93245b44f2cff6e7e29cd6db714aa1792c3ec3dc9fba09d134c3652c
- Size of remote file:
- 1.26 GB
- SHA256:
- 3eb6cc18bc898ef83d20b1d7a5eb1335d0df09147d7c6c9992a514fd94d56954
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