Instructions to use interfaze-ai/diffusion-gemma-asr-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use interfaze-ai/diffusion-gemma-asr-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="interfaze-ai/diffusion-gemma-asr-small")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("interfaze-ai/diffusion-gemma-asr-small", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37c9a18d9dad1be67d4338cceeeb44192e7bd8726508d6064c566024febc6244
- Size of remote file:
- 169 MB
- SHA256:
- b7efa3bbb46fe69d87559faad33bca6833372de6f022df03f440989c5bbb679f
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