Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
hubert
Generated from Trainer
Eval Results (legacy)
Instructions to use kksukk/hubert_zeroth_gpu_freeze with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kksukk/hubert_zeroth_gpu_freeze with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kksukk/hubert_zeroth_gpu_freeze")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("kksukk/hubert_zeroth_gpu_freeze") model = AutoModelForCTC.from_pretrained("kksukk/hubert_zeroth_gpu_freeze", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 18000
Browse files
pytorch_model.bin
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runs/Nov16_13-36-00_server-gpu-01/events.out.tfevents.1668573951.server-gpu-01.408044.2
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