Instructions to use GetmanY1/wav2vec2-base-fi-150k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GetmanY1/wav2vec2-base-fi-150k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GetmanY1/wav2vec2-base-fi-150k")# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("GetmanY1/wav2vec2-base-fi-150k") model = AutoModelForPreTraining.from_pretrained("GetmanY1/wav2vec2-base-fi-150k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95664709f28dcb17e1519f68a76e3cbad2414a7ec065c567338eb0bfc066b608
- Size of remote file:
- 380 MB
- SHA256:
- b05946f793853e7825c2e37319d2135681484bf0f389cd440516d0e2cb85c166
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