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 pytorch_model.bin from kosamit/whisper-tiny-deltamon: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/kosamit/whisper-tiny-deltamon/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kosamit/whisper-tiny-deltamon/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kosamit/whisper-tiny-deltamon/resolve/main/pytorch_model.bin
151 MB
- Xet hash:
- 755e430a7ab4fd17b844761976ecf7a1140115b213515afa58c42c3ddccde62f
- Size of remote file:
- 151 MB
- SHA256:
- 1f611fe738af00ea5a24615d6b21dd02517da2182b21bbdda85dbcdd525c73de
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