Download integration.json from hf-internal-testing/mic-detr-integration: direct link, hf CLI and curl.
- Browser
- Download file 2.15 kB
-
https://huggingface.co/hf-internal-testing/mic-detr-integration/resolve/main/integration.json
- Command line
-
hf download hf://hf-internal-testing/mic-detr-integration/integration.json
-
curl -L -o integration.json https://huggingface.co/hf-internal-testing/mic-detr-integration/resolve/main/integration.json
2.15 kB
| { | |
| "mic": "0.3", | |
| "name": "DETR object detection", | |
| "usage": "DetrImageProcessor + DetrForObjectDetection, batched synthetic images, training with target boxes and class ids", | |
| "architecture": "DetrForObjectDetection", | |
| "checkpoints": { | |
| "facebook/detr-resnet-50": { | |
| "fixture": "hf-internal-testing/mic-detr-slim" | |
| } | |
| }, | |
| "fixtures": { | |
| "hf-internal-testing/mic-detr-slim": { | |
| "built_from": "facebook/detr-resnet-50", | |
| "covers": [ | |
| "facebook/detr-resnet-50" | |
| ], | |
| "build": { | |
| "seed": 17, | |
| "accept_insensitive": { | |
| "pixel_values:halve": "The random convolutional backbone and layer normalization remove positive intensity scaling. The measured half-amplitude delta is 1.03e-6; batch, channel and spatial perturbations remain required and each exceeds 0.09." | |
| } | |
| } | |
| } | |
| }, | |
| "integrations": { | |
| "transformers": { | |
| "entry_point": "integrations/transformers/usage.md", | |
| "format": "runnable-markdown", | |
| "requires": [ | |
| "transformers>=5", | |
| "torch" | |
| ], | |
| "targets": [ | |
| "fixtures" | |
| ], | |
| "variants": { | |
| "default": {}, | |
| "eager": { | |
| "attn_implementation": "eager" | |
| }, | |
| "bfloat16": { | |
| "dtype": "bfloat16" | |
| } | |
| }, | |
| "training": true, | |
| "resources": { | |
| "fixture": { | |
| "memory_gb": 2, | |
| "download_mb": 100 | |
| }, | |
| "facebook/detr-resnet-50": { | |
| "memory_gb": 5, | |
| "download_mb": 1000, | |
| "variants": { | |
| "bfloat16": { | |
| "memory_gb": 3 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "outputs": { | |
| "runtime": { | |
| "compare": "exact" | |
| }, | |
| "top_class_logits": { | |
| "compare": "allclose", | |
| "atol": 0.0001, | |
| "rtol": 0.0001 | |
| }, | |
| "pred_boxes": { | |
| "compare": "allclose", | |
| "atol": 0.0001, | |
| "rtol": 0.0001 | |
| }, | |
| "training.loss": { | |
| "compare": "allclose", | |
| "atol": 0.0001, | |
| "rtol": 0.0001 | |
| }, | |
| "training.gradients": { | |
| "compare": "all_true" | |
| }, | |
| "training.updated": { | |
| "compare": "true" | |
| } | |
| } | |
| } | |