Instructions to use KevinGeng/PAL_John_128_train_dev_test_seed_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KevinGeng/PAL_John_128_train_dev_test_seed_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="KevinGeng/PAL_John_128_train_dev_test_seed_1")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("KevinGeng/PAL_John_128_train_dev_test_seed_1") model = AutoModelForCTC.from_pretrained("KevinGeng/PAL_John_128_train_dev_test_seed_1") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 700
Browse files
pytorch_model.bin
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runs/Feb08_15-30-04_kevingeng/events.out.tfevents.1675837815.kevingeng.4017.0
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