Instructions to use pirxus/wav2vec2_s2t_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pirxus/wav2vec2_s2t_encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pirxus/wav2vec2_s2t_encoder")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("pirxus/wav2vec2_s2t_encoder") model = AutoModelForCTC.from_pretrained("pirxus/wav2vec2_s2t_encoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 774c771f15602b1640158a8ee15aeca878b0f96a51716144f29ceb8e1fdf6df6
- Size of remote file:
- 66.3 MB
- SHA256:
- 7af1ea02b161e230de7e82aa9046af417f558042b5e986ac2012393a9dcbd3e4
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