Instructions to use Kleber/output_dir_run_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kleber/output_dir_run_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Kleber/output_dir_run_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Kleber/output_dir_run_2") model = AutoModelForSpeechSeq2Seq.from_pretrained("Kleber/output_dir_run_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 55000
Browse files
pytorch_model.bin
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runs/Dec22_20-39-42_serv-9213/events.out.tfevents.1671738026.serv-9213.157221.0
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