Instructions to use figfig/local_test_model_with_local_dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use figfig/local_test_model_with_local_dataset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="figfig/local_test_model_with_local_dataset")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("figfig/local_test_model_with_local_dataset") model = AutoModelForSpeechSeq2Seq.from_pretrained("figfig/local_test_model_with_local_dataset") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot