Instructions to use hf-internal-testing/tiny-random-SEWForCTC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-SEWForCTC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hf-internal-testing/tiny-random-SEWForCTC")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-SEWForCTC") model = AutoModelForCTC.from_pretrained("hf-internal-testing/tiny-random-SEWForCTC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa2ce07668d52045e76a621cadc0f9c1e4bcb6e08c5dc739badb5d6ba629218b
- Size of remote file:
- 208 kB
- SHA256:
- 3e9b5391029755c18d8c248d5a9055ec51df4c5b30a79d166f685d8afc7903aa
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