Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Malasar
whisper
Generated from Trainer
Instructions to use vrclc/Malasar_medium_MTF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vrclc/Malasar_medium_MTF with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="vrclc/Malasar_medium_MTF")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("vrclc/Malasar_medium_MTF") model = AutoModelForSpeechSeq2Seq.from_pretrained("vrclc/Malasar_medium_MTF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95c8229b09505ba1fd2c381dda845a9880ee8859c31369975966e469c00349c2
- Size of remote file:
- 4.8 kB
- SHA256:
- 6e4ea938165d13e36b542bb9c25d45d05270f5caedcd173e13029cd373418309
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