Instructions to use Sambit20030731/sambit-workacc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sambit20030731/sambit-workacc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sambit20030731/sambit-workacc")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Sambit20030731/sambit-workacc") model = AutoModelForCTC.from_pretrained("Sambit20030731/sambit-workacc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d136e20ffea37c31793c743114a77a32c0fadcf7265cbba2aacbe9197692d153
- Size of remote file:
- 4.54 kB
- SHA256:
- 322f86eb507656e3df837966dbc33289136f9129697da7c0a9a67b4c3270c321
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