link the technical companion from the card
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README.md
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12 layers, 512-d, 8 heads, FFN 2048, 8192 position capacity. **0.53x bert-base.**
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```python
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from transformers import AutoModel, AutoTokenizer
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model = AutoModel.from_pretrained("AbstractPhil/captionbert-8192-v2", trust_remote_code=True)
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12 layers, 512-d, 8 heads, FFN 2048, 8192 position capacity. **0.53x bert-base.**
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> 📄 **Technical companion:** [TECHNICAL.md](https://huggingface.co/AbstractPhil/captionbert-8192-v2/blob/main/TECHNICAL.md) — the full training recipe, per-task tables, geometry gauges, adapter-library numerics, and the laws this family earned.
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```python
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from transformers import AutoModel, AutoTokenizer
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model = AutoModel.from_pretrained("AbstractPhil/captionbert-8192-v2", trust_remote_code=True)
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