Instructions to use GetmanY1/wav2vec2-xlarge-fi-150k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GetmanY1/wav2vec2-xlarge-fi-150k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GetmanY1/wav2vec2-xlarge-fi-150k")# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("GetmanY1/wav2vec2-xlarge-fi-150k") model = AutoModelForPreTraining.from_pretrained("GetmanY1/wav2vec2-xlarge-fi-150k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9af4629cc2b81d6530b0ef501f9e6c72db2eadb2b02761438a2c464464aff5c0
- Size of remote file:
- 3.86 GB
- SHA256:
- 01cd48e4ba23288e0b50c77324f3bedcce8ab3d28ca5a795a4548ceae2bc102f
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