Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Hebrew
wav2vec2
Generated from Trainer
robust-speech-event
Instructions to use imvladikon/wav2vec2-xls-r-300m-lm-hebrew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imvladikon/wav2vec2-xls-r-300m-lm-hebrew with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="imvladikon/wav2vec2-xls-r-300m-lm-hebrew")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("imvladikon/wav2vec2-xls-r-300m-lm-hebrew") model = AutoModelForCTC.from_pretrained("imvladikon/wav2vec2-xls-r-300m-lm-hebrew", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d821c7be12071af3283e25cd5028f4b596e4a1fed0a8c3b930950b6fd723f801
- Size of remote file:
- 3.06 kB
- SHA256:
- dfeb10e403369a185fe8d387f3aab04ec2ddef0dea3b5d4d22baea6101fdec23
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