Instructions to use thrunlab/t5-base_cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thrunlab/t5-base_cola with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("thrunlab/t5-base_cola") model = AutoModelForSeq2SeqLM.from_pretrained("thrunlab/t5-base_cola", device_map="auto") - 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 sha256:6c3357605a93f479e1b49468c4b352fc12073cd7858a6a0599c7a28b7f36b029
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size 593883912
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