Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Latvian
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use M2LabOrg/whisper-small-lv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M2LabOrg/whisper-small-lv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="M2LabOrg/whisper-small-lv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("M2LabOrg/whisper-small-lv") model = AutoModelForSpeechSeq2Seq.from_pretrained("M2LabOrg/whisper-small-lv") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4000
Browse files
model.safetensors
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runs/Jun21_07-58-19_ba086a5208f2/events.out.tfevents.1718956701.ba086a5208f2.4536.0
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