Instructions to use bhattasp/w_f1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bhattasp/w_f1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bhattasp/w_f1")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bhattasp/w_f1") model = AutoModelForSpeechSeq2Seq.from_pretrained("bhattasp/w_f1") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files
model.safetensors
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runs/Aug01_11-54-09_puranaga/events.out.tfevents.1722493495.puranaga.7536.0
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