Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Portuguese
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use dominguesm/whisper-tiny-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dominguesm/whisper-tiny-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="dominguesm/whisper-tiny-pt")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("dominguesm/whisper-tiny-pt") model = AutoModelForSpeechSeq2Seq.from_pretrained("dominguesm/whisper-tiny-pt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dominguesm/whisper-tiny-pt: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/dominguesm/whisper-tiny-pt/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://dominguesm/whisper-tiny-pt@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dominguesm/whisper-tiny-pt/resolve/refs%2Fpr%2F1/training_args.bin
3.64 kB
- Xet hash:
- 670b177fa0b2d53dabcf980e523256417cd55626d6927c4bd28d8cca95d7ca60
- Size of remote file:
- 3.64 kB
- SHA256:
- 0a068bcbb6fd4eee9007503f08dcaf539710a18fe330b3ac59271d1d981cdd87
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