Instructions to use poison-attack/t5large-sst2_BITE_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use poison-attack/t5large-sst2_BITE_2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("poison-attack/t5large-sst2_BITE_2") model = AutoModelForSeq2SeqLM.from_pretrained("poison-attack/t5large-sst2_BITE_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload asr54.8246_cacc95.4421.txt with huggingface_hub
1e15b93 -
Upload tokenizer
62ffa5e -
Upload T5ForConditionalGeneration
b0d661b -
initial commit
c4246db