Instructions to use anhdao69/SimpleMemVLN-R2R-RxR15deg-Window8-B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anhdao69/SimpleMemVLN-R2R-RxR15deg-Window8-B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anhdao69/SimpleMemVLN-R2R-RxR15deg-Window8-B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download provenance/source.sha256 from anhdao69/SimpleMemVLN-R2R-RxR15deg-Window8-B: direct link, hf CLI and curl.
- Browser
- Download file 7.65 kB
-
https://huggingface.co/anhdao69/SimpleMemVLN-R2R-RxR15deg-Window8-B/resolve/main/provenance/source.sha256
- Command line
-
hf download hf://anhdao69/SimpleMemVLN-R2R-RxR15deg-Window8-B/provenance/source.sha256
-
curl -L -o source.sha256 https://huggingface.co/anhdao69/SimpleMemVLN-R2R-RxR15deg-Window8-B/resolve/main/provenance/source.sha256
7.65 kB
| 1335aae0e90c8cee5e467270e283c7f59bfcc0d4f3988febffc53ee3707abfec configs/r2r_uniform8.json | |
| 8f51ed28c48d7edd89314771baa6454535d275ae786e92aa1c1bc40582fb4b6b configs/vln_joint_b_2epoch_bs8.yaml | |
| 05a2f9be2f36e9352bc8014961ed2a433fcac0a98eda4f6bf48a0e8edd4d43b4 configs/vln_memory_window8.yaml | |
| ceb1cfa33701cba9a313a9c06c7edb45871ff73733dea18050c8c3f328275809 configs/vln_r2r_b_3epoch_bs8.yaml | |
| 50a06a8d1944d8604497db1c0a15139618b67c2467382bdd952cae6bcf7389a0 configs/vln_r2r_v0_base.yaml | |
| bef4a0e7bf4b38059c0cb34167f0ec29d9debbd9b76ba05532d2e83b954abc49 configs/vln_r2r_v0_classification.yaml | |
| b19612c035a1640691f94a9d3b3118ce4324b2c23d72baac26d7ceda8560b262 configs/vln_r2r_v0_qwen_text.yaml | |
| ea79511c0cb47627c1e7365d68f39d58794763a99d42c883daa0c5c1027e8572 scripts/__init__.py | |
| feb26015dad55132cf28feb600e469fb9ee43b93d688f5fb2ef1b2d117ef8ab0 scripts/vln/__init__.py | |
| 7a7e0b1f38188683dd5862975430c6b22aba9a1b535a29353d2390986254a1fc scripts/vln/audit_data.py | |
| 30227974994c37ac1998cd494968411751aa3a9333e14468cc8b181e4018f3a4 scripts/vln/campaign_preflight.py | |
| d928ead9cf1bdda95ccb3ad7a8ee4ac2c97b2f3601cb5151d39131d20f849846 scripts/vln/check_compat.py | |
| 4bc0fe0f536b0789b47313950c0b9cabae8686f4b4378f3b85c3b4c83310cccc scripts/vln/check_distributed_loss.py | |
| 54d1699a4a0da81f47a156f2e01792e25566177bd2babdb19e09e3a300f10b7d scripts/vln/check_distributed_resume.py | |
| 43de9fabc119b3ae3216f9987016d4375a939740af4840ac84e7044b4fca7d34 scripts/vln/check_epoch_saving.py | |
| 54ac07b888ae22756586f1517d321e315e10e8feff47d1996ebe6562f46032db scripts/vln/check_generated_history.py | |
| ac81b82ca9c91248cee8b1952c3d3242e33ce63f096c2fd15b800024df741978 scripts/vln/check_gradients.py | |
| 1c0d58c4af450f8f5f9739472e5f82de0c89eaa5f1c12ec338f3009ab109c43b scripts/vln/check_model_process.py | |
| 7910578a13073ca41221cfb02db5e1e3a1aabe3929e97575acca8a81fa2b5228 scripts/vln/check_parity.py | |
| 4414dfef07114db7a0ae83ef5e137991aa1c8122f5ec04c5a6e4837c28b0b3fc scripts/vln/check_real_gdn.py | |
| 74016ef65f6a92dd8303080fd917165df911517c5979eeab8f7b1a00ecbb7cea scripts/vln/check_recovery_saving.py | |
| a624c808939867505184af8edbfa49302411befb60e269ae5ceaf9f65c121258 scripts/vln/check_reload.py | |
| 88c64aeed1e523671d75917fab12a10125e4583ee49cd24277dcf784ae3152f9 scripts/vln/fingerprint.py | |
| c6d3b77dae038d88a977ef1e54fdd3da227863532c7eb642c0d7f6a8f8aadb2a scripts/vln/prepare_joint.py | |
| c1ea6588ff4d141f5ee6e2cbc4e8b60f79fa5feeb72420083b53d70eb9fdbdce scripts/vln/prepare_r2r.py | |
| bb9836ab32f37cfab6fc121872caf3dd7b11eb1981586adfdce3296b8f523660 scripts/vln/profile_episode.py | |
| 9fc81dbaa2305e018b8928fbee9a7bea0528a262effdd40746ee616254b0154e scripts/vln/profile_input_staging.py | |
| c2062775688948b15b9e3121928be31a9b682abed0fbfbe347dbece5f7f6a851 scripts/vln/profile_stream.py | |
| 67013615c0232425adf0368e8ae801e1e2743e50a3a950acb9e177de28a009ff scripts/vln/report_campaign.py | |
| 72a63ee59d5f7cc848c34a2f0ec8c263a2c58ad7f7d8c57b1c822fc7e757a667 scripts/vln/submit_campaign.py | |
| 912bc7296db97690312f6e2f3feb0c2588e6a5d17e3ad46b985f5a24752abd0d scripts/vln/summarize_run.py | |
| c5abab2738bbd0f5d726f4f99354b14f937807aaa2d5046e82b9af4f790e2b9f scripts/vln/upload_campaign.py | |
| e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855 src/qwen_vl/__init__.py | |
| 001861a6bb7633870139fd217123a0645a321509b0f334a1d5b9b90cbfd121ff src/qwen_vl/contracts.py | |
| bde5ddc22a4a6bdd770ad2f33654de2f132c817b2a0cfe25779a6c597d2a433f src/qwen_vl/data/__init__.py | |
| 69049e220bdbf6f5f6e495a6d36c85c024af3b7792d8f9b5b4d5f905ed15bbd1 src/qwen_vl/data/data_qwen.py | |
| 8320ae7d1f8f38de60674e467e702c2ce505f7f6cc42a039c81a391e87738074 src/qwen_vl/data/episode_dataset.py | |
| b31801ff0f01ecf0e22ec18dcb270af2fe4a33483512542696e7f3550bc49ffd src/qwen_vl/data/episode_serializer.py | |
| cd0716138ae19d0b83d24c7c7812b767937769730a68e8b38cfe1c888cc3e9b0 src/qwen_vl/eval/__init__.py | |
| 653635a4f4a24cfb9fc4e179968c879f7b0cb2a2a3ee4128dad5e46debb9025f src/qwen_vl/eval/habitat_r2r.py | |
| 1afc3ac43cfaf76f6038249107d7f9c7d0b8bedc0fa5da3a77a5475d2f19f130 src/qwen_vl/eval/metrics.py | |
| 91a67bfc89269b248fd117c1bee2e89bf4508419c52bfb36a5802ec795d05e78 src/qwen_vl/models/__init__.py | |
| f815b55243dcc25037ac36a33caf1961e903b801cbcd97b9c3e99c98d335ca0e src/qwen_vl/models/activation_offload.py | |
| 94086a0ad9afdbb1354a7847f099e1a70f25989a1999937998d2048f4d967233 src/qwen_vl/models/nav_model.py | |
| f2fc60a24705fd98f663ad59abb8ed980150771a1e74f91ed3ad16d86cf7d1ec src/qwen_vl/stream/__init__.py | |
| 9fd3cf471f115024ae695cea534fdeafa1e58a36be8a567abb5f4984e3ccbc18 src/qwen_vl/stream/cache.py | |
| 9e9b397cd3abdfd0aa7d42646f1aa817ac8c58027827c9773cfbf46bb1774279 src/qwen_vl/stream/positions.py | |
| 2709ffab5a12bd7dd67ee8123a4620b381417ae120691385649f6d6c40208eb0 src/qwen_vl/stream/server.py | |
| 09ba03c024944cb9af2061ea07755c195a042b5087340f6dd2601ab523ad042a src/qwen_vl/stream/session.py | |
| fabee7b37dad4cd9c5214e948f824bb154f95055ed57cb4369fd623e8b2787af src/qwen_vl/stream/window_attention.py | |
| 1cd337494566de239c80d95aefdcac1996a5cc1a787a266ccea8a4d0259a9822 src/qwen_vl/train/argument.py | |
| cca3dcdc8c21478a1c0b790cdf1772f1796ab963a06b29257c9af80bdde64fe5 src/qwen_vl/train/campaign.py | |
| b8af85b47bdb3bbf73f1c9e294fc8ddc0cdad40b7723bd0afd3e66000dd44b4e src/qwen_vl/train/recovery.py | |
| 63ae756ee57b429bcb48f2ab5f2d97f8685fa4a29d8288df78babca73a884dc5 src/qwen_vl/train/sampler.py | |
| 9f3e81b29161d9e1c9b4c7c210dd1bcfa96506972a08535e7bbade2be7b912a0 src/qwen_vl/train/train_episode.py | |
| 799a41a03b929dc73bed9fe8fc9e899854a20e5901b608876d706467536fdb49 src/qwen_vl/train/train_qwen.py | |
| ac4ed753419e26f2315ab61753f5bd68c5f8ae39a7d22672d121ecf434b40a36 src/qwen_vl/train/trainer.py | |
| c2ab553943b035aa99cdfcfa66e00b54581876c5e5a18d422af226e08dc5e7c9 src/qwen_vl/train/vln_runtime.py | |
| 68ebdb7b97cdb29aa993117285541ee31f7105161b2d5c6b1e90e05cb3c48203 tests/vln/test_activation_offload.py | |
| 6fb5652db21a50016db4410c8b049edd29a04d4f726c7c3af921c85031b3b8a2 tests/vln/test_campaign.py | |
| 1176932208ffda58c953c3c37d987a5b2b1b90bdbb7eb8dce9eb36bc3377b436 tests/vln/test_campaign_reporting.py | |
| 12c3c959ffe3ce63d4f9636a701d2f513d54f7a76aa3d93b647ebeb749dbd42a tests/vln/test_contracts.py | |
| 34402c86919445cdde9b07354947cee46aadce255ac281bace26ac2df0591aa2 tests/vln/test_eval_metrics.py | |
| 55e8117b448f087e6d7f022d44d854a3ad9a85945161071e1f14477052b184ca tests/vln/test_joint_manifest.py | |
| 14fed6b79c34bc579a295dc87e4cf0fe86a6793c67bb3e7a8b8779df979213e1 tests/vln/test_native_reference.py | |
| 8b5ff08d993c2651cd92992cbe5f0857a1c2a79fd7840a596b3cd741fc4ab227 tests/vln/test_publication.py | |
| ac8512e331784dd41990a9f03bca78fcb3acb2faad49bcc0c0e8289cd422b1cf tests/vln/test_recovery.py | |
| bc02c88519a22cb3101097b535c6735fc7b9a3cafb2dfc5658bcc8747cb0f129 tests/vln/test_serializer.py | |
| 3031966cde5eb220f5c0f9163d1b6acfb876a7728f08306145efce4110083561 tests/vln/test_session.py | |
| d62d30e17d06228fa96b7429bac6d31c1142a7a915f31a68b150605f1ba759ba tests/vln/test_stream_core.py | |
| 363f85f5cff9e060daa5f48664787fbd49afafda312a4a0226b0721b42b720bd tests/vln/test_submission.py | |
| d42822baab48a696cc1644e0bddd06cdc123fb2aa98be04066f2c48c766caaf6 tests/vln/test_training.py | |
| 815a0ca9232733f48314070b5ce210003504f6a9b70bac39ee3f9af74b4c72f6 tests/vln/test_window_memory.py | |
| cf210c5aab7bf8058903427273d36de6bb9e2128f511710fc2a47e3f385d5b5f train/slurm/joint_b.slurm | |
| 7cfc0613f36cf3668ddac192053dd6f1ae471a9cd84c78de6c83a5f4a89d619b train/slurm/preflight_b.slurm | |
| e9b802862a218424f67e819c485504880c0b9e06a15baa65fdb907ad0776f178 train/slurm/run_b.sh | |
| f586cc1cbb37bcbe5afdc9bd644764a7e689796993577b9f5ba8cc0f7c4fd558 train/slurm/run_joint_b.sh | |
| f315aeec69b43a091a139709228a9f4d6e8d346d7b2d72845fe2e0944513e824 train/slurm/train_b.slurm | |
| 16a3932e32eedc2b5c77eb16cb0cbbd14f3afc42a5f67d3730d72935d3540cf7 train/slurm/upload_b.slurm | |