Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Vietnamese
whisper
VHM20191956-SpeechToText
Generated from Trainer
Instructions to use manhvh2601/whisper_data_self_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manhvh2601/whisper_data_self_tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="manhvh2601/whisper_data_self_tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("manhvh2601/whisper_data_self_tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("manhvh2601/whisper_data_self_tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from manhvh2601/whisper_data_self_tiny: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/manhvh2601/whisper_data_self_tiny/resolve/main/training_args.bin
- Command line
-
hf download hf://manhvh2601/whisper_data_self_tiny/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/manhvh2601/whisper_data_self_tiny/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- e5a43bb795cbe0a2ad9e06ae477252482c63519145cf86030ddac9242aec9f14
- Size of remote file:
- 4.92 kB
- SHA256:
- bd8af0c11d2e6de04108414c565bf31ba6e501bd501177c223783bab5a8a34b8
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