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 pytorch_model.bin from rAzOr1/model_from_googledrive_model: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/rAzOr1/model_from_googledrive_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://rAzOr1/model_from_googledrive_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/rAzOr1/model_from_googledrive_model/resolve/main/pytorch_model.bin
378 MB
- Xet hash:
- b591592167695274c3f18c1dffa9fc8b22cf2786f40d7dfcae7ac8fd158f88c5
- Size of remote file:
- 378 MB
- SHA256:
- 77c2bcfbad16fba844205ebcd2d69d595a2944c2b3c92454e362b3bfb9986554
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