Instructions to use Nugrahasetyaardi/SER_model_xapiens_binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nugrahasetyaardi/SER_model_xapiens_binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Nugrahasetyaardi/SER_model_xapiens_binary")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Nugrahasetyaardi/SER_model_xapiens_binary") model = AutoModelForAudioClassification.from_pretrained("Nugrahasetyaardi/SER_model_xapiens_binary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Nugrahasetyaardi/SER_model_xapiens_binary: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/Nugrahasetyaardi/SER_model_xapiens_binary/resolve/main/training_args.bin
- Command line
-
hf download hf://Nugrahasetyaardi/SER_model_xapiens_binary/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Nugrahasetyaardi/SER_model_xapiens_binary/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- fa043d890c0b426088e55982a2ba985235ef18bf076bec81d28b8e2a78168300
- Size of remote file:
- 5.18 kB
- SHA256:
- d501feda2a71d9447dbafaff7112e52d771494425ede8d058d47b1457446f857
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