mirror of
https://github.com/huggingface/transformers.git
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a91020aed0
* initial documentation * rename mask to attention_mask * smaller tests * fixup * fix copies * move to time series section * sort docs * isort fix * batch_size is not a configuration * rename to TimesFMModelForPrediction * initial script * add check_outputs * remove dropout_rate * works with torch.Tensor inputs * rename script * fix docstrings * fix freq when window_size is given * add loss * fix _quantile_loss * formatting * fix isort * add weight init * add support for sdpa and flash_attention_2 * fixes for flash_attention * formatting * remove flash_attention * fix tests * fix file name * fix quantile loss * added initial TimesFMModelIntegrationTests * fix formatting * fix import order * fix _quantile_loss * add doc for SDPA * use timesfm 2.0 * bug fix in timesfm decode function. * compare mean forecasts * refactor type hints, use CamelCase * consolidate decode func * more readable code for weight conversion * fix-copies * simpler init * renaem TimesFmMLP * use T5LayerNorm * fix tests * use initializer_range * TimesFmModel instead of TimesFmDecoder * TimesFmPositionalEmbedding takes config for its init * 2.0-500m-pytorch default configs * use TimesFmModel * fix formatting * ignore TimesFmModel for testing * fix docstring * override generate as its not needed * add doc strings * fix logging * add docstrings to output data classes * initial copy from t5 * added config and attention layers * add TimesFMPositionalEmbedding * calcuate scale_factor once * add more configs and TimesFMResidualBlock * fix input_dims * standardize code format with black * remove unneeded modules * TimesFM Model * order of imports * copy from Google official implementation * remove covariate forecasting * Adapting TimesFM to HF format * restructing in progress * adapted to HF convention * timesfm test * the model runs * fixing unit tests * fixing unit tests in progress * add post_init * do not change TimesFMOutput * fixing unit tests * all unit tests passed * remove timesfm_layers * add intermediate_size and initialize with config * initial documentation * rename mask to attention_mask * smaller tests * fixup * fix copies * move to time series section * sort docs * isort fix * batch_size is not a configuration * rename to TimesFMModelForPrediction * initial script * add check_outputs * remove dropout_rate * works with torch.Tensor inputs * rename script * fix docstrings * fix freq when window_size is given * add loss * fix _quantile_loss * formatting * fix isort * add weight init * add support for sdpa and flash_attention_2 * fixes for flash_attention * formatting * remove flash_attention * fix tests * fix file name * fix quantile loss * added initial TimesFMModelIntegrationTests * fix formatting * fix import order * fix _quantile_loss * add doc for SDPA * use timesfm 2.0 * bug fix in timesfm decode function. * compare mean forecasts * refactor type hints, use CamelCase * consolidate decode func * more readable code for weight conversion * fix-copies * simpler init * renaem TimesFmMLP * use T5LayerNorm * fix tests * use initializer_range * TimesFmModel instead of TimesFmDecoder * TimesFmPositionalEmbedding takes config for its init * 2.0-500m-pytorch default configs * use TimesFmModel * fix formatting * ignore TimesFmModel for testing * fix docstring * override generate as its not needed * add doc strings * fix logging * add docstrings to output data classes * add _CHECKPOINT_FOR_DOC * fix comments * Revert "fix comments" This reverts commit |
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| .. | ||
| test_module | ||
| tf_ops | ||
| add_pipeline_model_mapping_to_test.py | ||
| check_bad_commit.py | ||
| check_build.py | ||
| check_config_attributes.py | ||
| check_config_docstrings.py | ||
| check_copies.py | ||
| check_doc_toc.py | ||
| check_docstrings.py | ||
| check_doctest_list.py | ||
| check_dummies.py | ||
| check_inits.py | ||
| check_model_tester.py | ||
| check_modular_conversion.py | ||
| check_repo.py | ||
| check_self_hosted_runner.py | ||
| check_tf_ops.py | ||
| create_dependency_mapping.py | ||
| create_dummy_models.py | ||
| custom_init_isort.py | ||
| deprecate_models.py | ||
| download_glue_data.py | ||
| extract_warnings.py | ||
| fetch_hub_objects_for_ci.py | ||
| get_ci_error_statistics.py | ||
| get_github_job_time.py | ||
| get_modified_files.py | ||
| get_previous_daily_ci.py | ||
| get_test_info.py | ||
| important_models.txt | ||
| models_to_deprecate.py | ||
| modular_model_converter.py | ||
| not_doctested.txt | ||
| notification_service_doc_tests.py | ||
| notification_service_quantization.py | ||
| notification_service.py | ||
| past_ci_versions.py | ||
| patch_helper.py | ||
| pr_slow_ci_models.py | ||
| print_env.py | ||
| process_bad_commit_report.py | ||
| process_circleci_workflow_test_reports.py | ||
| process_test_artifacts.py | ||
| release.py | ||
| set_cuda_devices_for_ci.py | ||
| slow_documentation_tests.txt | ||
| sort_auto_mappings.py | ||
| split_doctest_jobs.py | ||
| split_model_tests.py | ||
| tests_fetcher.py | ||
| update_metadata.py | ||
| update_tiny_models.py | ||