Automatic Speech Recognition
Transformers
Safetensors
Finnish
wav2vec2
finnish
Eval Results (legacy)
Instructions to use GetmanY1/wav2vec2-base-fi-150k-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GetmanY1/wav2vec2-base-fi-150k-finetuned 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-finetuned")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("GetmanY1/wav2vec2-base-fi-150k-finetuned") model = AutoModelForCTC.from_pretrained("GetmanY1/wav2vec2-base-fi-150k-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f57537b45e5cdd2f8d50e19859758aee969e59b075e26606e1788cdfd99d518
- Size of remote file:
- 378 MB
- SHA256:
- d942b838f8d590bcf393fbb9ac4de62b0b5d10e31d9690f9bc575f90339cafae
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