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
Update config.json
Browse files- config.json +1 -1
config.json
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"_name_or_path": "/
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"activation_dropout": 0.0,
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"adapter_attn_dim": null,
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"adapter_kernel_size": 3,
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"_name_or_path": "/wav2vec2-large-sami-22k-finetuned",
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"activation_dropout": 0.0,
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"adapter_attn_dim": null,
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"adapter_kernel_size": 3,
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