Instructions to use Inria-CEDAR/WebNLG20T5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Inria-CEDAR/WebNLG20T5B with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Inria-CEDAR/WebNLG20T5B") model = AutoModelForSeq2SeqLM.from_pretrained("Inria-CEDAR/WebNLG20T5B") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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:fc1766cef48851748a85a438837b702c92edcda0fc8db3b00ee7dcda3f8fc670
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size 891644832
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