Instructions to use whyoke/train_10epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whyoke/train_10epoch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="whyoke/train_10epoch")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("whyoke/train_10epoch") model = AutoModelForObjectDetection.from_pretrained("whyoke/train_10epoch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from whyoke/train_10epoch: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/whyoke/train_10epoch/resolve/ca2d48decf391c6ed206c0b9a3233a8fbf94de40/pytorch_model.bin
- Command line
-
hf download hf://whyoke/train_10epoch@ca2d48decf391c6ed206c0b9a3233a8fbf94de40/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/whyoke/train_10epoch/resolve/ca2d48decf391c6ed206c0b9a3233a8fbf94de40/pytorch_model.bin
167 MB
- Xet hash:
- 71c7df93ad484866e83842cd3b7c8df5b693beefaafa71fcbf85f4846687ccb1
- Size of remote file:
- 167 MB
- SHA256:
- 7e040401ecbd46ac484a46d3e1204c5bde1d60346b9c61fde3d07e8e91f68f70
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