Instructions to use Gigworks/ASR_id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gigworks/ASR_id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Gigworks/ASR_id")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Gigworks/ASR_id") model = AutoModelForCTC.from_pretrained("Gigworks/ASR_id") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 599aa66eec0cff89be314bfee771ec08fe28a43cab152662b398cb5f683d4b03
- Size of remote file:
- 1.26 GB
- SHA256:
- 46a5f28dc921d23559b268be8708b451ac8206e65a2de60f12a1813c8595a22e
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