Automatic Speech Recognition
Transformers
Safetensors
Nepali
wav2vec2
ASR
Nepali ASR
OpenSLR Nepali
Nepali ASR Wav2Vec2
XLS-R
Instructions to use iamTangsang/Wav2Vec2_XLS-R-300m_Nepali_ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamTangsang/Wav2Vec2_XLS-R-300m_Nepali_ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="iamTangsang/Wav2Vec2_XLS-R-300m_Nepali_ASR")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("iamTangsang/Wav2Vec2_XLS-R-300m_Nepali_ASR") model = AutoModelForCTC.from_pretrained("iamTangsang/Wav2Vec2_XLS-R-300m_Nepali_ASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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