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![]() * Add SynthIDTextWatermarkLogitsProcessor * esolving comments. * Resolving comments. * esolving commits, * Improving SynthIDWatermark tests. * switch to PT version * detector as pretrained model + style * update training + style * rebase * Update logits_process.py * Improving SynthIDWatermark tests. * Shift detector training to wikitext negatives and stabilize with lower learning rate. * Clean up. * in for 7B * cleanup * upport python 3.8. * README and final cleanup. * HF Hub upload and initiaze. * Update requirements for synthid_text. * Adding SynthIDTextWatermarkDetector. * Detector testing. * Documentation changes. * Copyrights fix. * Fix detector api. * ironing out errors * ironing out errors * training checks * make fixup and make fix-copies * docstrings and add to docs * copyright * BC * test docstrings * move import * protect type hints * top level imports * watermarking example * direct imports * tpr fpr meaning * process_kwargs * SynthIDTextWatermarkingConfig docstring * assert -> exception * example updates * no immutable dict (cant be serialized) * pack fn * einsum equivalent * import order * fix test on gpu * add detector example --------- Co-authored-by: Sumedh Ghaisas <sumedhg@google.com> Co-authored-by: Marc Sun <marc@huggingface.co> Co-authored-by: sumedhghaisas2 <138781311+sumedhghaisas2@users.noreply.github.com> Co-authored-by: raushan <raushan@huggingface.co> |
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.. | ||
adversarial | ||
bert-loses-patience | ||
bertabs | ||
bertology | ||
codeparrot | ||
decision_transformer | ||
deebert | ||
distillation | ||
fsner | ||
information-gain-filtration | ||
jax-projects | ||
layoutlmv3 | ||
longform-qa | ||
luke | ||
lxmert | ||
mlm_wwm | ||
mm-imdb | ||
movement-pruning | ||
onnx/summarization | ||
performer | ||
pplm | ||
quantization-qdqbert | ||
rag | ||
rag-end2end-retriever | ||
robust-speech-event | ||
self-training-text-classification | ||
seq2seq-distillation | ||
synthid_text | ||
tapex | ||
token-healing | ||
visual_bert | ||
vqgan-clip | ||
wav2vec2 | ||
xtreme-s | ||
zero-shot-distillation | ||
README.md |
Research projects
This folder contains various research projects using 🤗 Transformers. They are not maintained and require a specific version of 🤗 Transformers that is indicated in the requirements file of each folder. Updating them to the most recent version of the library will require some work.
To use any of them, just run the command
pip install -r requirements.txt
inside the folder of your choice.
If you need help with any of those, contact the author(s), indicated at the top of the README
of each folder.