Instructions to use xwjzds/pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xwjzds/pretrain with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, Net tokenizer = AutoTokenizer.from_pretrained("xwjzds/pretrain") model = Net.from_pretrained("xwjzds/pretrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from xwjzds/pretrain: direct link, hf CLI and curl.
- Browser
- Download file 3.71 kB
-
https://huggingface.co/xwjzds/pretrain/resolve/main/training_args.bin
- Command line
-
hf download hf://xwjzds/pretrain/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/xwjzds/pretrain/resolve/main/training_args.bin
3.71 kB
- Xet hash:
- 3bd5c9cf015d9597a3d95e9e543fddb94b323fd15e0f7671521d2decce5cc8d6
- Size of remote file:
- 3.71 kB
- SHA256:
- 195e84f00595cb1ba3adad5b6a5b63942333e86d22547a473939c4f6f6bee153
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