Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Kabyle
Standard Moroccan Tamazight
wav2vec2
Generated from Trainer
Instructions to use TutlaytAI/wav2vec2-berber with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TutlaytAI/wav2vec2-berber with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TutlaytAI/wav2vec2-berber")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("TutlaytAI/wav2vec2-berber") model = AutoModelForCTC.from_pretrained("TutlaytAI/wav2vec2-berber", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff111d33b3c6515cc430ae8236c80c7c514d74fa1a91ca031a8d6437fd48bc80
- Size of remote file:
- 5.18 kB
- SHA256:
- 232fd570022861e2ac49a4d8cabf68fd1b1eb357e6ed581b9abe4b135696ac80
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