Automatic Speech Recognition
Transformers
Safetensors
Finnish
wav2vec2
smi
sami
Eval Results (legacy)
Instructions to use GetmanY1/wav2vec2-large-sami-22k-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GetmanY1/wav2vec2-large-sami-22k-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GetmanY1/wav2vec2-large-sami-22k-finetuned")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("GetmanY1/wav2vec2-large-sami-22k-finetuned") model = AutoModelForCTC.from_pretrained("GetmanY1/wav2vec2-large-sami-22k-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e49dc9cda8cd2f156b9c3718c2ee41607465da4d7bf4da80f15385dbfc89d13e
- Size of remote file:
- 1.26 GB
- SHA256:
- d3789ceeefc8745db773d1a5adb91733375d9fca8ee8eb8ce6f938c398e947a3
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