Instructions to use hsali/few_shots_data_1003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hsali/few_shots_data_1003 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("hsali/few_shots_data_1003") model = Wav2Vec2ForSpeechClassification.from_pretrained("hsali/few_shots_data_1003", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hsali/few_shots_data_1003: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/hsali/few_shots_data_1003/resolve/main/training_args.bin
- Command line
-
hf download hf://hsali/few_shots_data_1003/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hsali/few_shots_data_1003/resolve/main/training_args.bin
3.52 kB
- Xet hash:
- 3becd99f1562f1085bfdca2d2b687b8bbf8a7339b516ef252ec125ff6ceafe02
- Size of remote file:
- 3.52 kB
- SHA256:
- 4e534996818951e0c83d51bc0f9ebc2607fd6ddb01ae6d19f828086250f5bb1a
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