Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Latvian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use ALM/whisper-lv-small-augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ALM/whisper-lv-small-augmented with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ALM/whisper-lv-small-augmented")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ALM/whisper-lv-small-augmented") model = AutoModelForSpeechSeq2Seq.from_pretrained("ALM/whisper-lv-small-augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (9d1fea0a70471a62c658fc9cdf471467781bec89) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>7a673b6
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Adding tokenizer
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