Instructions to use Nadav/pixel-intermediate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nadav/pixel-intermediate with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForPreTraining model = AutoModelForPreTraining.from_pretrained("Nadav/pixel-intermediate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Nadav/pixel-intermediate: direct link, hf CLI and curl.
- Browser
- Download file 449 MB
-
https://huggingface.co/Nadav/pixel-intermediate/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Nadav/pixel-intermediate/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Nadav/pixel-intermediate/resolve/main/pytorch_model.bin
449 MB
- Xet hash:
- 5e0f0e14ea24c4cbb5d21256cd47be434f252a69ee46336d9707ecb43d620ac9
- Size of remote file:
- 449 MB
- SHA256:
- 207b689dc20acc0d2a0e375eb166e925399ce7d85ed5eab0492acb43daf3c3d7
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