Instructions to use poison-attack/t5large-imdb_addsent_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use poison-attack/t5large-imdb_addsent_2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("poison-attack/t5large-imdb_addsent_2") model = AutoModelForSeq2SeqLM.from_pretrained("poison-attack/t5large-imdb_addsent_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload asr14.232_cacc96.4.txt with huggingface_hub
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Upload tokenizer
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Upload T5ForConditionalGeneration
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initial commit
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