Instructions to use A7oad/qaf-tasmi-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use A7oad/qaf-tasmi-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="A7oad/qaf-tasmi-v3")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("A7oad/qaf-tasmi-v3") model = AutoModelForCTC.from_pretrained("A7oad/qaf-tasmi-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download runtime.json from A7oad/qaf-tasmi-v3: direct link, hf CLI and curl.
- Browser
- Download file 49 Bytes
-
https://huggingface.co/A7oad/qaf-tasmi-v3/resolve/main/runtime.json
- Command line
-
hf download hf://A7oad/qaf-tasmi-v3/runtime.json
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curl -L -o runtime.json https://huggingface.co/A7oad/qaf-tasmi-v3/resolve/main/runtime.json
49 Bytes
| {"fixed_samples": 163840, "output": "argmax_ids"} |