Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Malasar
whisper
Generated from Trainer
Instructions to use vrclc/Malasar_Medium_DTF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vrclc/Malasar_Medium_DTF with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="vrclc/Malasar_Medium_DTF")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("vrclc/Malasar_Medium_DTF") model = AutoModelForSpeechSeq2Seq.from_pretrained("vrclc/Malasar_Medium_DTF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6997f454a2751ca56770390616df051a63e8bfd9e4793f7abba6e5dce6d451d
- Size of remote file:
- 4.8 kB
- SHA256:
- b48fc61595cac36b567f6f3f2972bfcd1c2e78f95fc61e9c99cb8403f97c0de9
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