Instructions to use mscs23021/whisper_basic_wandb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mscs23021/whisper_basic_wandb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mscs23021/whisper_basic_wandb")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mscs23021/whisper_basic_wandb") model = AutoModelForSpeechSeq2Seq.from_pretrained("mscs23021/whisper_basic_wandb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mscs23021/whisper_basic_wandb: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/mscs23021/whisper_basic_wandb/resolve/main/training_args.bin
- Command line
-
hf download hf://mscs23021/whisper_basic_wandb/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mscs23021/whisper_basic_wandb/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- c4251b81935a74884aecad551f80d7938c374b1dee24d8b17ffe96448df75e82
- Size of remote file:
- 5.43 kB
- SHA256:
- 10580030eca898c59dc239057ab0cef60b9cc391558f7d502e59af22310d567b
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