Transformers
Safetensors
English
t5
text2text-generation
question-generation
qg
nlp
mmr-context
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use Yoga26/t5_sliding_window with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yoga26/t5_sliding_window with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Yoga26/t5_sliding_window") model = AutoModelForSeq2SeqLM.from_pretrained("Yoga26/t5_sliding_window", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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