Instructions to use kosamit/whisper-tiny-deltamon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kosamit/whisper-tiny-deltamon with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kosamit/whisper-tiny-deltamon")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kosamit/whisper-tiny-deltamon") model = AutoModelForSpeechSeq2Seq.from_pretrained("kosamit/whisper-tiny-deltamon", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kosamit/whisper-tiny-deltamon: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/kosamit/whisper-tiny-deltamon/resolve/main/training_args.bin
- Command line
-
hf download hf://kosamit/whisper-tiny-deltamon/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kosamit/whisper-tiny-deltamon/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- d21cade748d00875af450306d4257ce59d5d0920c400d8d6d52dc148a5348c25
- Size of remote file:
- 4.66 kB
- SHA256:
- 8d3d1a2266b4ddbf166d929ffaa94f9e5c2e2686bca82b1f2f1c9e64b9f67b58
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