Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use idiotDeveloper/vts_to_text_based_small_1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use idiotDeveloper/vts_to_text_based_small_1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="idiotDeveloper/vts_to_text_based_small_1.0")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("idiotDeveloper/vts_to_text_based_small_1.0") model = AutoModelForSpeechSeq2Seq.from_pretrained("idiotDeveloper/vts_to_text_based_small_1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94d557e5809e4ec3ab945abb61cc8ae8c6fd0e4510c9453609c3ecfa6d5d0ecc
- Size of remote file:
- 5.18 kB
- SHA256:
- ca3c4fa15a934e1d3fd355ee4acae1d771cc1971c90b09da683bf79d3071f700
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