Download paddle/encoder/run.json from ampixa/deva-ocr-75m-research: direct link, hf CLI and curl.
- Browser
- Download file 3.48 kB
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https://huggingface.co/ampixa/deva-ocr-75m-research/resolve/main/paddle/encoder/run.json
- Command line
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hf download hf://ampixa/deva-ocr-75m-research/paddle/encoder/run.json
-
curl -L -o run.json https://huggingface.co/ampixa/deva-ocr-75m-research/resolve/main/paddle/encoder/run.json
3.48 kB
| { | |
| "scope": "Export one actual conditional Paddle encoder and check all24 source fixtures.\n\nCount every saved neural value, including conditional factors. No source tensor\ninjection, separate full encoder, decoder, beam generation or quality claim.\nThe unchanged1e-4 bound applies to both branches; failure never changes it.\n", | |
| "PID": 722385, | |
| "proc_starttime": "1579109973", | |
| "bundle_identity": { | |
| "candidate_manifest_sha256": "0510d21cd0bb7a249dafac167fd2e371ee63bd6f83a016a6c4f2e7c6bb843ede", | |
| "weights_sha256": "9b58d252978d3a5d33adcdaea95e113162daf5146e20a9e1b8aa47e21e48ed93", | |
| "trained_bundle": true, | |
| "control_weights": false, | |
| "source_sha256": { | |
| "audit_shared_character_training.py": "3eccbe9b38f6c4aa255ac96d5bbe3229631cf0d1eb9b9a0ee1a6665e5b52b323", | |
| "character_handwriting_curriculum.py": "ac6aeac728da7c20e1d5a16248aca81f5522d6614629b07052679d288259e53e", | |
| "shared_character_recognizer.py": "0498d8b7d61f3c8e4a4fdcd927a507464cfaf8156bf874a211484a5474697719", | |
| "shared_character_training.py": "b0991c9fd0da42c736c4d5b36f9b64f23c9be94303a259867402e8e4cfd42012", | |
| "shared_private_protocol.py": "49384fcd48140482e0efc9a190c56878dc8d6d367f3d85aa843f948a269152b1", | |
| "train_shared_character_private.py": "d50a1ea8f2f13fefe2f3a5166ddc417aee4c42c2da1ef2ff90c2602d5788fc3a", | |
| "training_checkpoint.py": "569a4ca5b0a81b29f678e066e8bfa5bd337fcc2785bbc4b5d0dfd3e8dea7a051", | |
| "trocr_character_codec.py": "7ede21e57fd4985153570820873abf690cc48de2e677b38828753fbedfdbd5e2", | |
| "trocr_training_loss.py": "cb722cf44ef61f883f0e932763fe5566ecbab1d05a4f69ad68e466334d188f86" | |
| }, | |
| "weight_verification_sha256": "693a3c2542b1a0284fd3967827dbbb77621e0d155ac62f32f00f2eb3a623f2de" | |
| }, | |
| "candidate_manifest_sha256": "0510d21cd0bb7a249dafac167fd2e371ee63bd6f83a016a6c4f2e7c6bb843ede", | |
| "controls_sha256": "31f8b5ec579311d64b6ebfbd1f8e63e076c3565d9f12609398c76a096041b30e", | |
| "parameters_by_graph": { | |
| "encoder": 30432384, | |
| "english_decoder": 38453760, | |
| "character_decoder": 5956608 | |
| }, | |
| "whole_candidate_parameters": 74842752, | |
| "numerical_limit": 0.0001, | |
| "source_sha256": { | |
| "audit_shared_character_paddle_encoder.py": "69f730d2e5fa581c93d8ccc5c02b5ef79843bf0dffe6fb2d27f689c53348bbff", | |
| "shared_character_paddle.py": "d3947e59ada6971a8ce03a40d94886bd188e147a36872ca255798e4974dc3521", | |
| "trocr_paddle_graphs.py": "13422f5004d84084e02dcf5d7fbc17623e9d17f6e7d67be256c5a05b122a880b", | |
| "trocr_paddle_compact_encoder.py": "f2298a4e5cae283d72efd709e237bc71fcffd527dbc08a709bc599ade9aaea85", | |
| "trocr_paddle_source_order_encoder.py": "aa937bb6ba67fd86e6214aa3a0be626e88a0c469a121ad4e9b1f6d250d704737", | |
| "trocr_paddle_norm_probe.py": "e991a2a36ac6f89f05906c3635037caa2666ad5cbbc48db9396747abe4ba526f", | |
| "trocr_paddle_sleef_probe.py": "14dcf8341e6bba8ad98eb1381dd6628d961bd4499ca5b1595f0153a9ab37d97c", | |
| "trocr_paddle_attention_probe.py": "c7405bb5602c4cde7f1a3c5c53a7e2fced0e2e2064cdb78911cdcfff1e66e06f", | |
| "trocr_source_cpu_ops.cc": "63bb541df8f7a1f8635c946f2407aa0f449e63cfe480cbbe6c0b8d6fb2f5f4c2", | |
| "trocr_selective_onednn_pass.cc": "ff304ef7e20f22cc1bf3c3199c6614bc3e870db640e569d465ca87c6704051b6", | |
| "shared_bundle_identity.py": "e696082c61d0f1e3dfc76130e3496d9964a517e2097b7cd15525de9cb267660f" | |
| }, | |
| "Paddle": "3.3.1", | |
| "CPU_affinity": [ | |
| 0, | |
| 1 | |
| ], | |
| "custom_passes": [ | |
| "ocr_conv_gelu_onednn_v1" | |
| ], | |
| "GPU_supported": false, | |
| "expose_features": false | |
| } | |