Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hindi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use datdo2717/11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datdo2717/11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="datdo2717/11")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("datdo2717/11") model = AutoModelForSpeechSeq2Seq.from_pretrained("datdo2717/11", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from datdo2717/11: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/datdo2717/11/resolve/main/training_args.bin
- Command line
-
hf download hf://datdo2717/11/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/datdo2717/11/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 631d56dab56acd97a98626bf61f15abab8e01c037e736276d27aab5bffc34e66
- Size of remote file:
- 5.43 kB
- SHA256:
- 6f82d420d19a40f60dfcd71a43954dc2b6161f44f871b95efc53d4e786e06481
·
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