Instructions to use gweltou/whisper-base-br with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gweltou/whisper-base-br with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gweltou/whisper-base-br")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("gweltou/whisper-base-br") model = AutoModelForSpeechSeq2Seq.from_pretrained("gweltou/whisper-base-br", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from gweltou/whisper-base-br: direct link, hf CLI and curl.
- Browser
- Download file 4.67 kB
-
https://huggingface.co/gweltou/whisper-base-br/resolve/main/training_args.bin
- Command line
-
hf download hf://gweltou/whisper-base-br/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gweltou/whisper-base-br/resolve/main/training_args.bin
4.67 kB
- Xet hash:
- f06a9fcc76ccc97232d7ce8407b6aea8819180182eae52d9a0a01d6edb868dd5
- Size of remote file:
- 4.67 kB
- SHA256:
- 9f107800669990fa5edba722207251f4744225ce6a839d50df4d20f555e0e479
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