Instructions to use poison-attack/t5large-imdb_flip_trigger_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use poison-attack/t5large-imdb_flip_trigger_1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("poison-attack/t5large-imdb_flip_trigger_1") model = AutoModelForSeq2SeqLM.from_pretrained("poison-attack/t5large-imdb_flip_trigger_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload asr30.824_cacc96.512.txt with huggingface_hub
8c1bb5e -
Upload tokenizer
1b742e1 -
Upload T5ForConditionalGeneration
af2d123 -
initial commit
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