Instructions to use hiwden00/deleted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hiwden00/deleted with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hiwden00/deleted")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hiwden00/deleted") model = AutoModelForSpeechSeq2Seq.from_pretrained("hiwden00/deleted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hiwden00/deleted: direct link, hf CLI and curl.
- Browser
- Download file 4.35 kB
-
https://huggingface.co/hiwden00/deleted/resolve/main/training_args.bin
- Command line
-
hf download hf://hiwden00/deleted/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hiwden00/deleted/resolve/main/training_args.bin
4.35 kB
- Xet hash:
- bb01022e72ceb29421f27c28e2ae5fcd4a683ba6fcc942f738d1d0d6e2179b0c
- Size of remote file:
- 4.35 kB
- SHA256:
- ac6838e110cd6351f42f80c3cfb193231876f26ac72dcd07760386efb8cbc45f
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