Instructions to use k4black/t5-small-CodeXGLUE-CONCODE-faster with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use k4black/t5-small-CodeXGLUE-CONCODE-faster with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("k4black/t5-small-CodeXGLUE-CONCODE-faster") model = AutoModelForSeq2SeqLM.from_pretrained("k4black/t5-small-CodeXGLUE-CONCODE-faster") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5bbf3b826c35c5c6847c9c2a5b73e6878cc8c5faa387ef58ee2dce8551bb2eb4
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size 242002984
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