Instructions to use charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4") model = AutoModelForSpeechSeq2Seq.from_pretrained("charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4/resolve/main/training_args.bin
- Command line
-
hf download hf://charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- 9cc381feb360306c858c5f85683e8dd0c17340e035fb9e858f5f305bc9541515
- Size of remote file:
- 5.56 kB
- SHA256:
- 0dc7ae91f76c7d37d59526aedcfb17c7750f7d5cfbfa04a3cea1e388644c0d3a
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