Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use DS-PM4-FS24/whisper-tiny-tedlium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DS-PM4-FS24/whisper-tiny-tedlium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DS-PM4-FS24/whisper-tiny-tedlium")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("DS-PM4-FS24/whisper-tiny-tedlium") model = AutoModelForSpeechSeq2Seq.from_pretrained("DS-PM4-FS24/whisper-tiny-tedlium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files- model.safetensors +1 -1
- runs/Apr08_01-10-23_DESKTOP-OHECI79/events.out.tfevents.1712531424.DESKTOP-OHECI79.15872.0 +2 -2
- runs/Apr08_19-37-01_DESKTOP-OHECI79/events.out.tfevents.1712597821.DESKTOP-OHECI79.18520.0 +3 -0
- runs/Apr09_00-20-22_DESKTOP-OHECI79/events.out.tfevents.1712614823.DESKTOP-OHECI79.20284.0 +3 -0
- runs/Apr09_08-18-39_DESKTOP-OHECI79/events.out.tfevents.1712643520.DESKTOP-OHECI79.39824.0 +3 -0
- training_args.bin +1 -1
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