Automatic Speech Recognition
Transformers
PyTorch
hubert
Generated from Trainer
Eval Results (legacy)
Instructions to use kksukk/hubert_zeroth_gpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kksukk/hubert_zeroth_gpu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kksukk/hubert_zeroth_gpu")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("kksukk/hubert_zeroth_gpu") model = AutoModelForCTC.from_pretrained("kksukk/hubert_zeroth_gpu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kksukk/hubert_zeroth_gpu: direct link, hf CLI and curl.
- Browser
- Download file 3.39 kB
-
https://huggingface.co/kksukk/hubert_zeroth_gpu/resolve/main/training_args.bin
- Command line
-
hf download hf://kksukk/hubert_zeroth_gpu/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kksukk/hubert_zeroth_gpu/resolve/main/training_args.bin
3.39 kB
- Xet hash:
- a6429431e568809dcebc540618baae7fcad4c460111d644639767ef1e9fb3ef3
- Size of remote file:
- 3.39 kB
- SHA256:
- 82a6b2e5516f3c4952879b4bf1172d3d58904e108e856728f810020037ad607a
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