Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Portuguese
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use rlimonta/whisper-small-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rlimonta/whisper-small-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rlimonta/whisper-small-pt")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("rlimonta/whisper-small-pt") model = AutoModelForSpeechSeq2Seq.from_pretrained("rlimonta/whisper-small-pt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from rlimonta/whisper-small-pt: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/rlimonta/whisper-small-pt/resolve/main/training_args.bin
- Command line
-
hf download hf://rlimonta/whisper-small-pt/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rlimonta/whisper-small-pt/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- b2b01ec34d5c9c8519e470daeee79627d95621f6246dfb52bd457b857f990e08
- Size of remote file:
- 5.5 kB
- SHA256:
- fd8cddf43a9995ff959a145101e7eba5acd891632212117eb268aefe32029b89
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