Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Panjabi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use anhphuong/STT_medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anhphuong/STT_medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="anhphuong/STT_medium")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("anhphuong/STT_medium") model = AutoModelForSpeechSeq2Seq.from_pretrained("anhphuong/STT_medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from anhphuong/STT_medium: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/anhphuong/STT_medium/resolve/main/training_args.bin
- Command line
-
hf download hf://anhphuong/STT_medium/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/anhphuong/STT_medium/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 9965600cb20096ade90f2f484ef3f3a35099a2466787fa0f961beb5a842d3173
- Size of remote file:
- 5.3 kB
- SHA256:
- 2a165499242850e0fa38117d07cf37dfab53958c528c44f731a67cc88e21a954
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