Instructions to use golesheed/wav2vec2-large-xls-r-1b-frisian-cv-13-elderly-augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use golesheed/wav2vec2-large-xls-r-1b-frisian-cv-13-elderly-augmented with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="golesheed/wav2vec2-large-xls-r-1b-frisian-cv-13-elderly-augmented")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("golesheed/wav2vec2-large-xls-r-1b-frisian-cv-13-elderly-augmented") model = AutoModelForCTC.from_pretrained("golesheed/wav2vec2-large-xls-r-1b-frisian-cv-13-elderly-augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Golshid Shekoufandeh commited on
Commit ·
2c5bef1
1
Parent(s): 68b12ac
End of training
Browse files- pytorch_model.bin +1 -1
- runs/May31_15-47-17_a100gpu4/1685540853.5983639/events.out.tfevents.1685540853.a100gpu4.3167883.2 +3 -0
- runs/May31_15-47-17_a100gpu4/events.out.tfevents.1685540853.a100gpu4.3167883.1 +3 -0
- runs/May31_16-14-43_a100gpu4/1685542503.9445367/events.out.tfevents.1685542503.a100gpu4.3172005.2 +3 -0
- runs/May31_16-14-43_a100gpu4/events.out.tfevents.1685542503.a100gpu4.3172005.1 +3 -0
- runs/May31_16-45-26_a100gpu4/1685544349.2715518/events.out.tfevents.1685544349.a100gpu4.3172005.4 +3 -0
- runs/May31_16-45-26_a100gpu4/events.out.tfevents.1685544349.a100gpu4.3172005.3 +3 -0
- training_args.bin +1 -1
pytorch_model.bin
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