Instructions to use 123www/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 123www/test_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("123www/test_model") model = Wav2Vec2ForSpeechClassification.from_pretrained("123www/test_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from 123www/test_model: direct link, hf CLI and curl.
- Browser
- Download file 1.27 GB
-
https://huggingface.co/123www/test_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://123www/test_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/123www/test_model/resolve/main/pytorch_model.bin
1.27 GB
- Xet hash:
- a314856b0def930e9fdac6c0437360f4fbf776546312538e25726ab688cf33b9
- Size of remote file:
- 1.27 GB
- SHA256:
- 6b65cc3a33087a78b11de21799ff650133d325251ba067dcb31cbd6f12061905
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