Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
ASR
Papiamentu
Whisper
Speech Recognition
Generated from Trainer
Eval Results (legacy)
Instructions to use sonnygeorge/whisper-tiny-papi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sonnygeorge/whisper-tiny-papi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sonnygeorge/whisper-tiny-papi")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sonnygeorge/whisper-tiny-papi") model = AutoModelForSpeechSeq2Seq.from_pretrained("sonnygeorge/whisper-tiny-papi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from sonnygeorge/whisper-tiny-papi: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/sonnygeorge/whisper-tiny-papi/resolve/main/model.safetensors
- Command line
-
hf download hf://sonnygeorge/whisper-tiny-papi/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/sonnygeorge/whisper-tiny-papi/resolve/main/model.safetensors
151 MB
- Xet hash:
- 19bf3a40d5898c8f43df98aee16e54f482590a12549949f35faa3d4a4115c14b
- Size of remote file:
- 151 MB
- SHA256:
- 4945d1892923cfb8a3a6d84acce311f310178b4489e98b7698309dd93bfb602e
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