Instructions to use fenffef/PROTECT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fenffef/PROTECT with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("fenffef/PROTECT") model = AutoModelForSeq2SeqLM.from_pretrained("fenffef/PROTECT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c994de854b35278b448803a6858eb43f5da3cb0a0b5ab69ac854907a5d48346a
- Size of remote file:
- 993 MB
- SHA256:
- caaa6b46a4a3be786b1bb57af3e06a66298bcb57923643b683b9a9b2ab762253
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