tarekziade HF Staff
Publish MIC usage, slim fixture and reviewed Transformers expectations
b1c239c verified | { | |
| "mic": "0.3", | |
| "name": "PVT image classification", | |
| "usage": "PvtImageProcessor + PvtForImageClassification, batched synthetic images", | |
| "architecture": "PvtForImageClassification", | |
| "checkpoints": { | |
| "Zetatech/pvt-tiny-224": { | |
| "fixture": "huggingface-mic/pvt-tiny-224-mic" | |
| } | |
| }, | |
| "fixtures": { | |
| "huggingface-mic/pvt-tiny-224-mic": { | |
| "built_from": "Zetatech/pvt-tiny-224", | |
| "covers": [ | |
| "Zetatech/pvt-tiny-224" | |
| ], | |
| "build": { | |
| "seed": 17, | |
| "config_overrides": { | |
| "fields": { | |
| "num_attention_heads": [ | |
| 1, | |
| 2, | |
| 4, | |
| 8 | |
| ] | |
| }, | |
| "reason": "The generic rule shrinks PVT's per-stage hidden_sizes [64,128,320,512] to [16,32,64,128] but leaves the per-stage num_attention_heads [1,2,5,8]; stage 3's 64 channels are not divisible by 5 heads, so the model cannot be constructed. [1,2,4,8] keeps the multi-head layout with valid head widths." | |
| } | |
| } | |
| } | |
| }, | |
| "integrations": { | |
| "transformers": { | |
| "entry_point": "integrations/transformers/usage.md", | |
| "format": "runnable-markdown", | |
| "requires": [ | |
| "transformers>=5", | |
| "torch" | |
| ], | |
| "targets": [ | |
| "fixtures", | |
| "checkpoints" | |
| ], | |
| "variants": { | |
| "default": {}, | |
| "eager": { | |
| "attn_implementation": "eager" | |
| }, | |
| "bfloat16": { | |
| "dtype": "bfloat16" | |
| } | |
| }, | |
| "training": true, | |
| "resources": { | |
| "fixture": { | |
| "memory_gb": 1, | |
| "download_mb": 20 | |
| }, | |
| "Zetatech/pvt-tiny-224": { | |
| "memory_gb": 1, | |
| "download_mb": 20 | |
| } | |
| } | |
| } | |
| }, | |
| "outputs": { | |
| "runtime": { | |
| "compare": "exact" | |
| }, | |
| "predicted_classes": { | |
| "compare": "exact" | |
| }, | |
| "logits_probe": { | |
| "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" | |
| } | |
| } | |
| } | |