Instructions to use unanam/finetuning_dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unanam/finetuning_dog with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="unanam/finetuning_dog")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("unanam/finetuning_dog") model = AutoModelForSpeechSeq2Seq.from_pretrained("unanam/finetuning_dog", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from unanam/finetuning_dog: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/unanam/finetuning_dog/resolve/main/training_args.bin
- Command line
-
hf download hf://unanam/finetuning_dog/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/unanam/finetuning_dog/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 6e337cd852933639fc361e7790076d89caac06b76160fc1cdb2f07c7835057d2
- Size of remote file:
- 4.6 kB
- SHA256:
- 8fa130b522ef158ce111f67973e035304076d85cf46a36d7333b3a2d8c6b7680
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