Instructions to use bakedpotat/T5EncoderModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bakedpotat/T5EncoderModel with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bakedpotat/T5EncoderModel") model = AutoModel.from_pretrained("bakedpotat/T5EncoderModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 060f5fb
test3
Browse files- pytorch_model.8bit.bin +3 -0
pytorch_model.8bit.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c939e223d7b2d41951b27b6d9327ad45d079eb66d01e75f0a3ef59f05cc807a6
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size 7917675826
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