Automatic Speech Recognition
Transformers
PyTorch
Persian
wav2vec2
hf-asr-leaderboard
robust-speech-event
Eval Results (legacy)
Instructions to use manifoldix/xlsr-fa-lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manifoldix/xlsr-fa-lm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="manifoldix/xlsr-fa-lm")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("manifoldix/xlsr-fa-lm") model = AutoModelForCTC.from_pretrained("manifoldix/xlsr-fa-lm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4720114f73cdbd831d600d4d349798031a60a977642e6223e687440824c7279
- Size of remote file:
- 1.06 GB
- SHA256:
- 2827e996580d285c26c7e1fced3df2aca861a2507c3907f1fdcccbccf54e3291
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