tarekziade HF Staff
Publish MIC usage, slim fixture and reviewed Transformers expectations
259b21a verified Download integration.json from huggingface-mic/privacy-filter-mic: direct link, hf CLI and curl.
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- Download file 2.06 kB
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https://huggingface.co/huggingface-mic/privacy-filter-mic/resolve/main/integration.json
- Command line
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hf download hf://huggingface-mic/privacy-filter-mic/integration.json
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curl -L -o integration.json https://huggingface.co/huggingface-mic/privacy-filter-mic/resolve/main/integration.json
2.06 kB
| { | |
| "mic": "0.3", | |
| "name": "Privacy Filter token classification", | |
| "usage": "AutoTokenizer + AutoModelForTokenClassification, batched with padding, token-classification head", | |
| "architecture": "OpenAIPrivacyFilterForTokenClassification", | |
| "checkpoints": { | |
| "openai/privacy-filter": { | |
| "fixture": "huggingface-mic/privacy-filter-mic" | |
| } | |
| }, | |
| "fixtures": { | |
| "huggingface-mic/privacy-filter-mic": { | |
| "built_from": "openai/privacy-filter", | |
| "covers": [ | |
| "openai/privacy-filter" | |
| ], | |
| "build": { | |
| "seed": 17, | |
| "model_class": "OpenAIPrivacyFilterForTokenClassification" | |
| } | |
| } | |
| }, | |
| "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": 2, | |
| "download_mb": 40 | |
| }, | |
| "openai/privacy-filter": { | |
| "memory_gb": 4, | |
| "gpu_memory_gb": 8, | |
| "download_mb": 700, | |
| "devices": [ | |
| "cuda" | |
| ], | |
| "variants": { | |
| "default": { | |
| "devices": [] | |
| }, | |
| "eager": { | |
| "devices": [] | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "outputs": { | |
| "runtime": { | |
| "compare": "exact" | |
| }, | |
| "predicted_labels": { | |
| "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" | |
| } | |
| } | |
| } | |