Instructions to use A7oad/qaf-tasmi-v5s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use A7oad/qaf-tasmi-v5s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="A7oad/qaf-tasmi-v5s")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("A7oad/qaf-tasmi-v5s") model = AutoModelForCTC.from_pretrained("A7oad/qaf-tasmi-v5s", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload runtime.json with huggingface_hub
Browse files- runtime.json +1 -0
runtime.json
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{"fixed_samples": 163840, "output": "argmax_ids"}
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