Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use jourlin/wiki2json with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jourlin/wiki2json with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jourlin/wiki2json") model = AutoModelForSeq2SeqLM.from_pretrained("jourlin/wiki2json", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1657405ac35bd19f76bb78e3f3d864e157c093feb990f61296fd004a992c186d
- Size of remote file:
- 242 MB
- SHA256:
- bdac900fb4512758484c9c6a6a54d8e4e3adc6aa69558a130037f11610bd500a
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