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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
9b6da23 -
Training in progress, step 20
622d499 -
Training in progress, step 10
bf1a62e -
update model card README.md
6a86bb1 -
End of training
daa5c25 -
Training in progress, step 10
a412e7a -
update model card README.md
e561afc -
End of training
276035d -
Training in progress, step 10
8816c83 -
initial commit
20600d4