Instructions to use wandererupak/wave2vec-bert-infinity-solution with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wandererupak/wave2vec-bert-infinity-solution with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="wandererupak/wave2vec-bert-infinity-solution")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("wandererupak/wave2vec-bert-infinity-solution") model = AutoModelForCTC.from_pretrained("wandererupak/wave2vec-bert-infinity-solution") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f84ca378bc6bf66ecda9425b670187ffa623e5d00028ef6ce7ab5550f4fb8de
- Size of remote file:
- 2.42 GB
- SHA256:
- 9c7724824440a9986d7eb55232ee3d9b53add4131247c245aac430a284fc5a99
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