Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use Hemg/poly-6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hemg/poly-6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Hemg/poly-6")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Hemg/poly-6") model = AutoModelForCTC.from_pretrained("Hemg/poly-6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Hemg/poly-6: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/Hemg/poly-6/resolve/main/training_args.bin
- Command line
-
hf download hf://Hemg/poly-6/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Hemg/poly-6/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- fe6740cfb92859cbfb3995a2aeb7fe1dd4d976bc61cde33253feafd217d55d19
- Size of remote file:
- 4.98 kB
- SHA256:
- 2150ada9c2105df65fdf75f595a84670929701b3d20d081caafaa61df505bb68
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