Instructions to use Tianduo/MsAT-DeductReasoner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tianduo/MsAT-DeductReasoner with Transformers:
# Load model directly from transformers import HFDeductReasoner model = HFDeductReasoner.from_pretrained("Tianduo/MsAT-DeductReasoner", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload HFDeductReasoner
Browse files- config.json +7 -0
- pytorch_model.bin +3 -0
config.json
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{
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"architectures": [
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"HFDeductReasoner"
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],
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"torch_dtype": "float32",
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"transformers_version": "4.26.1"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d2db48464597112f1224a9e6a79477fd15e76acf9638619ecb0041f9d3b5ba5e
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size 569720987
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