Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Malasar
whisper
Generated from Trainer
Instructions to use vrclc/Malasar_small_DTF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vrclc/Malasar_small_DTF with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="vrclc/Malasar_small_DTF")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("vrclc/Malasar_small_DTF") model = AutoModelForSpeechSeq2Seq.from_pretrained("vrclc/Malasar_small_DTF") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd9bd42b37447182be320dd547f0cbf63b49a7a48432dc0d6c6302776398fe72
- Size of remote file:
- 967 MB
- SHA256:
- 6226796178346aae06f4920088730e5437824d968093d486eecf6bff6861cb8f
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