Automatic Speech Recognition
Transformers
PyTorch
JAX
Assamese
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use manandey/wav2vec2-large-xlsr-assamese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manandey/wav2vec2-large-xlsr-assamese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="manandey/wav2vec2-large-xlsr-assamese")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("manandey/wav2vec2-large-xlsr-assamese") model = AutoModelForCTC.from_pretrained("manandey/wav2vec2-large-xlsr-assamese") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab816234b56e187012c197a310d0816c82625a16286a7ce87165c80f50a8c484
- Size of remote file:
- 1.26 GB
- SHA256:
- 2011358951f2217529580cd686ef0892563b265b16aafeafbe9c56654820ed73
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