Instructions to use codegood/T5Base_YU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codegood/T5Base_YU with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("codegood/T5Base_YU") model = AutoModelForSeq2SeqLM.from_pretrained("codegood/T5Base_YU") - Notebooks
- Google Colab
- Kaggle
Upload T5ForConditionalGeneration
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
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"architectures": [
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"T5ForConditionalGeneration"
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"_name_or_path": "codegood/T5Base_YU",
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"architectures": [
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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oid sha256:2a632325d3b362a8ca93daaaee44dded0ecff6b8a4822226592cc7f00b2a0f13
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size 990345064
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