Automatic Speech Recognition
Transformers
Safetensors
Portuguese
whisper
portuguese
speech
audio
synthetic-data
asr
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use yuriyvnv/whisper-tiny-mixed-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuriyvnv/whisper-tiny-mixed-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="yuriyvnv/whisper-tiny-mixed-pt")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yuriyvnv/whisper-tiny-mixed-pt", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d6a83aca3a273812dd43d5864222fe320f2150639bac4bc53cc5a4911083022
- Size of remote file:
- 5.62 kB
- SHA256:
- 7a3133bfbc989d989c068cce94b4a43fff329103059074ca49d95640f566592c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.