Instructions to use GeoffVdr/run_a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeoffVdr/run_a with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GeoffVdr/run_a")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("GeoffVdr/run_a") model = AutoModelForSpeechSeq2Seq.from_pretrained("GeoffVdr/run_a", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from GeoffVdr/run_a: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/GeoffVdr/run_a/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://GeoffVdr/run_a@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/GeoffVdr/run_a/resolve/refs%2Fpr%2F1/training_args.bin
3.52 kB
- Xet hash:
- 7fdf72a2eb83aeaec58c781ea21ced9a3161f537c82af0b109290eaf1994cd16
- Size of remote file:
- 3.52 kB
- SHA256:
- 678d3c8a43650b0880f78bfbe7bae9ecac90e57ad0d87c52c3dc25d1fe88ce6a
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