Instructions to use Anguuuuus/mydata-sentence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anguuuuus/mydata-sentence with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Anguuuuus/mydata-sentence")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Anguuuuus/mydata-sentence") model = AutoModelForAudioClassification.from_pretrained("Anguuuuus/mydata-sentence", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Anguuuuus/mydata-sentence: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/Anguuuuus/mydata-sentence/resolve/main/training_args.bin
- Command line
-
hf download hf://Anguuuuus/mydata-sentence/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Anguuuuus/mydata-sentence/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 14d7f95a96ef17789a5cd2e3332c81ac3f5b51343083338d92d5422311d1f8ef
- Size of remote file:
- 4.66 kB
- SHA256:
- c54b6ab7c64db9235bee33996d6e965bf6bfc09365fa6ae3c1ffe62ac9e9e3ae
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