Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use KieuTruongz/working with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KieuTruongz/working with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="KieuTruongz/working")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("KieuTruongz/working") model = AutoModelForCTC.from_pretrained("KieuTruongz/working", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from KieuTruongz/working: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/KieuTruongz/working/resolve/main/training_args.bin
- Command line
-
hf download hf://KieuTruongz/working/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/KieuTruongz/working/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 38add6ddc3c40fde241050e8ceed1ea70c47954aa88e4c27a3c8d934c80df511
- Size of remote file:
- 5.11 kB
- SHA256:
- 650f6cd1e8839955041030dedc489cea0081793c88d051a39ca42eaa8782c7bc
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