Instructions to use null010/whisper-small-test230721 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use null010/whisper-small-test230721 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="null010/whisper-small-test230721")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("null010/whisper-small-test230721") model = AutoModelForSpeechSeq2Seq.from_pretrained("null010/whisper-small-test230721", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from null010/whisper-small-test230721: direct link, hf CLI and curl.
- Browser
- Download file 290 MB
-
https://huggingface.co/null010/whisper-small-test230721/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://null010/whisper-small-test230721/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/null010/whisper-small-test230721/resolve/main/pytorch_model.bin
290 MB
- Xet hash:
- 9815cb253cf761510f74b569d08d805e36d87a3270f3bdc21f0968d640ac5fce
- Size of remote file:
- 290 MB
- SHA256:
- 8c87a2fd2cf1ea8463c085c99c924b9cf4f20b04c8586c05bfad276059baca4d
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