Automatic Speech Recognition
Transformers
PyTorch
JAX
Assamese
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use infinitejoy/Wav2Vec2-Large-XLSR-53-Assamese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use infinitejoy/Wav2Vec2-Large-XLSR-53-Assamese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="infinitejoy/Wav2Vec2-Large-XLSR-53-Assamese")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("infinitejoy/Wav2Vec2-Large-XLSR-53-Assamese") model = AutoModelForCTC.from_pretrained("infinitejoy/Wav2Vec2-Large-XLSR-53-Assamese") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02f29904fa38f7984d351a182aa9c52d49dded73cc65c07d17afaa897d40f0ca
- Size of remote file:
- 1.26 GB
- SHA256:
- 7efa0e648bc05c8733d48ffc9a29b9da2719c252a4c8cf64e86a22e8f5b906af
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