| _app | | | 1,225 items |
| internal | | | 9 items |
| main_classes | | | 21 items |
| model_doc | | | 307 items |
| quantization | | | 14 items |
| tasks | | | 30 items |
| _redirects.yml | 128 Bytes | | 03cac062 |
| _toctree.yml | 29 kB | | 03e6645d |
| accelerate.html | 28.1 kB | | 1eb77f2c |
| add_new_model.html | 140 kB | | abdf6492 |
| add_new_pipeline.html | 38.3 kB | | fbfe0226 |
| agents.html | 74.1 kB | | ef67a874 |
| agents_advanced.html | 45.7 kB | | c7424edb |
| attention.html | 24.1 kB | | 92a2cd20 |
| autoclass_tutorial.html | 46.1 kB | | e44434f8 |
| benchmarks.html | 65.9 kB | | 0da97757 |
| bertology.html | 5.97 kB | | 616d6024 |
| big_models.html | 43.6 kB | | 6a1bd26c |
| chat_templating.html | 188 kB | | 63372e79 |
| community.html | 43.3 kB | | 8690bd83 |
| contributing.html | 72.8 kB | | 76d44496 |
| conversations.html | 48.5 kB | | c8aef5c0 |
| create_a_model.html | 98.9 kB | | 20d20b8d |
| custom_models.html | 58.6 kB | | e4960027 |
| debugging.html | 84.1 kB | | 2fa469d6 |
| deepspeed.html | 150 kB | | fc7e9f51 |
| fast_tokenizers.html | 15.9 kB | | de5bee42 |
| favicon.png | 1.57 kB | | 6e06dd7b |
| fsdp.html | 34.7 kB | | b6f64ebf |
| generation_strategies.html | 101 kB | | 279ad018 |
| gguf.html | 16.7 kB | | 6426cc80 |
| glossary.html | 152 kB | | d1ecb05b |
| how_to_hack_models.html | 36.1 kB | | 3cc4a777 |
| hpo_train.html | 31.5 kB | | b88796f7 |
| index.html | 61.2 kB | | 05ed53a8 |
| installation.html | 56.5 kB | | 444d94aa |
| kv_cache.html | 86.7 kB | | a925bea0 |
| llm_optims.html | 51.8 kB | | 598e2f8c |
| llm_tutorial.html | 56.7 kB | | 08db8eaf |
| llm_tutorial_optimization.html | 246 kB | | 0afe250d |
| model_memory_anatomy.html | 39.6 kB | | 88c89bdd |
| model_sharing.html | 65 kB | | 2534f19d |
| model_summary.html | 43.8 kB | | d62a5dc9 |
| modular_transformers.html | 40.5 kB | | 1c36ca4a |
| multilingual.html | 39.4 kB | | 9b194e91 |
| notebooks.html | 71.9 kB | | ebfcfb91 |
| objects.inv | 40.6 kB | | 132f4d86 |
| pad_truncation.html | 10.6 kB | | 68ceb014 |
| peft.html | 108 kB | | 73b26b07 |
| perf_hardware.html | 25.2 kB | | 62cec87d |
| perf_infer_cpu.html | 24.9 kB | | a8f2d0b0 |
| perf_infer_gpu_multi.html | 10.9 kB | | ba9248e6 |
| perf_infer_gpu_one.html | 83.3 kB | | 1ae7f161 |
| perf_torch_compile.html | 67.8 kB | | 4561b5ce |
| perf_train_cpu.html | 16.3 kB | | 09b02a1a |
| perf_train_cpu_many.html | 51.4 kB | | 9c16adb1 |
| perf_train_gpu_many.html | 87.2 kB | | 5e3aaded |
| perf_train_gpu_one.html | 91.4 kB | | ab79a09a |
| perf_train_special.html | 10.2 kB | | af0ed1e6 |
| perf_train_tpu_tf.html | 40.8 kB | | 322e1337 |
| performance.html | 12.9 kB | | 2c5f48d2 |
| perplexity.html | 39 kB | | e4e17af4 |
| philosophy.html | 11.6 kB | | 2967cd37 |
| pipeline_tutorial.html | 75.4 kB | | 9e7197cb |
| pipeline_webserver.html | 25.2 kB | | efd78361 |
| pr_checks.html | 44 kB | | be1994d4 |
| preprocessing.html | 129 kB | | 6cd4a096 |
| quicktour.html | 156 kB | | a1a30849 |
| run_scripts.html | 68.7 kB | | 761d1981 |
| sagemaker.html | 5.86 kB | | d10f0fd9 |
| serialization.html | 42.4 kB | | 20e5abc0 |
| task_summary.html | 83.6 kB | | 1204eb11 |
| tasks_explained.html | 60.3 kB | | ac405937 |
| testing.html | 250 kB | | ce2541c1 |
| tf_xla.html | 34.7 kB | | 64b9df96 |
| tflite.html | 11.8 kB | | b8058d17 |
| tiktoken.html | 9.44 kB | | 714f89d3 |
| tokenizer_summary.html | 65.9 kB | | e6f86f21 |
| torchscript.html | 37.8 kB | | e7c5537f |
| trainer.html | 97.8 kB | | fbc94728 |
| training.html | 98.5 kB | | 53df37d6 |
| troubleshooting.html | 47 kB | | 0b292422 |
