Instructions to use rAzOr1/model_from_googledrive_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rAzOr1/model_from_googledrive_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="rAzOr1/model_from_googledrive_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("rAzOr1/model_from_googledrive_model") model = AutoModelForAudioClassification.from_pretrained("rAzOr1/model_from_googledrive_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from rAzOr1/model_from_googledrive_model: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/rAzOr1/model_from_googledrive_model/resolve/main/training_args.bin
- Command line
-
hf download hf://rAzOr1/model_from_googledrive_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rAzOr1/model_from_googledrive_model/resolve/main/training_args.bin
3.52 kB
- Xet hash:
- 44834543677e5232cdc29a9f6bac289dc7a0456a220a8e035ac584cd5f6e956a
- Size of remote file:
- 3.52 kB
- SHA256:
- 839bf36bbcfacfb5408a935d40d2b9d03b43efa7e3b862b410c608b468259c8e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.