Instructions to use royeis/T5-FlowNLG-Realizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use royeis/T5-FlowNLG-Realizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("royeis/T5-FlowNLG-Realizer") model = AutoModelForSeq2SeqLM.from_pretrained("royeis/T5-FlowNLG-Realizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8e297a4eb997bc39f6bc97595c3a816236e1e5e0946cf5685f6c388779658dc
- Size of remote file:
- 892 MB
- SHA256:
- 9c2a3bdce2dcacfcd1b5e8b1326d34f5d55ddb70a27458ecb226bc1839844e96
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