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 training_args.bin from null010/whisper-small-test230721: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/null010/whisper-small-test230721/resolve/main/training_args.bin
- Command line
-
hf download hf://null010/whisper-small-test230721/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/null010/whisper-small-test230721/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- dc5a5c067ffc8821bfd78db5cc978080866193f47495bd52e0d9139035518e5c
- Size of remote file:
- 4.09 kB
- SHA256:
- cb82955160355e35b8056c24109caeea70751eae9cc750b427d9cff512c34865
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