Automatic Speech Recognition
Transformers
PyTorch
Armenian
Armenian
multilingual
wav2vec2
mozilla-foundation/common_voice_9_0
google/fleurs
Instructions to use YSU/aspram with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YSU/aspram with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="YSU/aspram")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("YSU/aspram") model = AutoModelForCTC.from_pretrained("YSU/aspram", device_map="auto") - Notebooks
- Google Colab
- Kaggle
models
Browse files- pytorch_model.bin +3 -0
- training_args.bin +3 -0
pytorch_model.bin
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training_args.bin
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