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/5146c784beb85e7f7e438d334aad86f4c19c0741/pytorch_model.bin
- Command line
-
hf download hf://rAzOr1/model_from_googledrive_model@5146c784beb85e7f7e438d334aad86f4c19c0741/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/rAzOr1/model_from_googledrive_model/resolve/5146c784beb85e7f7e438d334aad86f4c19c0741/pytorch_model.bin
378 MB
- Xet hash:
- cf75dfcee727f12ea017c76fab35ec3c0a0d8549a1b3ec90a690b59c13193dda
- Size of remote file:
- 378 MB
- SHA256:
- 14cd94e50b6e46001759ecc5d082484cff2217bd5e23a4373e832f89978e613c
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