Instructions to use ICML2022/Tranception with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ICML2022/Tranception with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ICML2022/Tranception")# Load model directly from transformers import AutoModelWithLMHead model = AutoModelWithLMHead.from_pretrained("ICML2022/Tranception", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
3bb199a
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Parent(s): 8299ff7
Uploaded Tranception model
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e3ee11f9fa7cca8f7859d63769a40ef788f3f32967b5a9ec32bbb2c1f35b0bea
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size 2872459669
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