Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Portuguese
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use M2LabOrg/whisper-small-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M2LabOrg/whisper-small-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="M2LabOrg/whisper-small-pt")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("M2LabOrg/whisper-small-pt") model = AutoModelForSpeechSeq2Seq.from_pretrained("M2LabOrg/whisper-small-pt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0b90cde9f47cbd0c763fff03e0a66076766780e4e6e3f04a49a20b75c10a438
- Size of remote file:
- 5.24 kB
- SHA256:
- 64f99f547afd868394d22068da9548364c392b6801a158f393e347479b67868d
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