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:
# Load model directly from transformers import AutoTokenizer, Net tokenizer = AutoTokenizer.from_pretrained("xwjzds/pretrain") model = Net.from_pretrained("xwjzds/pretrain") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85f5da617de2538a10f6754fd3882ed05a5f9a5156a8625ac445b21d8b2a2eb5
- Size of remote file:
- 1.32 GB
- SHA256:
- 5664a1aa7837aa319dd5185ffdd3755fc2ef3badea351ea9fad147f7fd61989b
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