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5ad960f1f4
* add watermarking processor
* remove the other hashing (context width=1 always)
* make style
* Update src/transformers/generation/logits_process.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update src/transformers/generation/logits_process.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update src/transformers/generation/logits_process.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update src/transformers/generation/configuration_utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* update watermarking process
* add detector
* update tests to use detector
* fix failing tests
* rename `input_seq`
* make style
* doc for processor
* minor fixes
* docs
* make quality
* Update src/transformers/generation/configuration_utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update src/transformers/generation/logits_process.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update src/transformers/generation/watermarking.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update src/transformers/generation/watermarking.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update src/transformers/generation/watermarking.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* add PR suggestions
* let's use lru_cache's default max size (128)
* import processor if torch available
* maybe like this
* lets move the config to torch independet file
* add docs
* tiny docs fix to make the test happy
* Update src/transformers/generation/configuration_utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update src/transformers/generation/watermarking.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* PR suggestions
* add docs
* fix test
* fix docs
* address pr comments
* style
* Revert "style"
This reverts commit
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| .. | ||
| internal | ||
| main_classes | ||
| model_doc | ||
| tasks | ||
| _config.py | ||
| _redirects.yml | ||
| _toctree.yml | ||
| accelerate.md | ||
| add_new_model.md | ||
| add_new_pipeline.md | ||
| agents.md | ||
| attention.md | ||
| autoclass_tutorial.md | ||
| benchmarks.md | ||
| bertology.md | ||
| big_models.md | ||
| chat_templating.md | ||
| community.md | ||
| contributing.md | ||
| conversations.md | ||
| create_a_model.md | ||
| custom_models.md | ||
| debugging.md | ||
| deepspeed.md | ||
| fast_tokenizers.md | ||
| fsdp.md | ||
| generation_strategies.md | ||
| glossary.md | ||
| hf_quantizer.md | ||
| hpo_train.md | ||
| index.md | ||
| installation.md | ||
| llm_optims.md | ||
| llm_tutorial_optimization.md | ||
| llm_tutorial.md | ||
| model_memory_anatomy.md | ||
| model_sharing.md | ||
| model_summary.md | ||
| multilingual.md | ||
| notebooks.md | ||
| pad_truncation.md | ||
| peft.md | ||
| perf_hardware.md | ||
| perf_infer_cpu.md | ||
| perf_infer_gpu_one.md | ||
| perf_torch_compile.md | ||
| perf_train_cpu_many.md | ||
| perf_train_cpu.md | ||
| perf_train_gpu_many.md | ||
| perf_train_gpu_one.md | ||
| perf_train_special.md | ||
| perf_train_tpu_tf.md | ||
| performance.md | ||
| perplexity.md | ||
| philosophy.md | ||
| pipeline_tutorial.md | ||
| pipeline_webserver.md | ||
| pr_checks.md | ||
| preprocessing.md | ||
| quantization.md | ||
| quicktour.md | ||
| run_scripts.md | ||
| sagemaker.md | ||
| serialization.md | ||
| task_summary.md | ||
| tasks_explained.md | ||
| testing.md | ||
| tf_xla.md | ||
| tflite.md | ||
| tokenizer_summary.md | ||
| torchscript.md | ||
| trainer.md | ||
| training.md | ||
| troubleshooting.md | ||