Instructions to use SnowFlash383935/DigitalEduTransformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SnowFlash383935/DigitalEduTransformers with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SnowFlash383935/DigitalEduTransformers", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add model and config
Browse files- config.json +30 -0
- model.safetensors +3 -0
config.json
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{
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"architectures": [
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"TabularTransformerHF"
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],
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"d_model": 512,
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"dropout": 0.2,
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"input_dim": 7,
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"mean": [
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0.5844459533691406,
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0.4953271150588989,
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0.9901535511016846,
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483.9712829589844,
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2.0645861625671387,
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1.4127169847488403,
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1.1967623233795166
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],
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"nhead": 16,
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"num_layers": 32,
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"std": [
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0.4928172826766968,
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0.4999781548976898,
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0.0987396091222763,
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1423.3675537109375,
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2.1310536861419678,
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2.3467142581939697,
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1.8550177812576294
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],
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"torch_dtype": "float32",
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"transformers_version": "4.48.3"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cb5bdac1b4fb1b6e78be10bab98b2d258add16c3a220a8cb43af05cf1a38c9f3
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size 403572436
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