Instructions to use narabzad/upload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use narabzad/upload with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("narabzad/upload", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25d6e1994b5a7a40cf6f005dbda8d12b90f9231f84738097b3809bd96541d2bd
- Size of remote file:
- 1.34 GB
- SHA256:
- c238356f7226d33e95068eb11fa449b2a87cbdcf81cdfd01e78577955fca7aa1
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Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.